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• Pattern Recognition and Machine Learning Techniques: Feature Analysis and Selection for Water Stream Modeling
• A Cloud-based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution
• A New Approach for Road Type Classification using Multi-Stage Graph Embedding Method
• Removing the Black-Box from Machine Learning
• Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment
• Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Dierential Evolution
• A Method for Counting Models on Cubic Boolean Formulas
• Automatic Identication of Learning Styles through Behavioral Patterns
• Comparison of Classiers in Challenge Scheme
• Deep Learning and Neural Networks: Robust Zero-Watermarking for Medical Images based on Deep Learning Feature Extraction
• Plant Stress Recognition Using Deep Learning and 3D Reconstruction
• Segmentation and Classification Networks for Corn/Weed Detection under Excessive Field Variabilities
• Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation
• Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks
• Estimation of Stokes Parameters using Deep Neural Networks
• Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification
• Medical Applications of Pattern Recognition: Hadamard Layer to Improve Semantic Segmentation in Medical Images
• Patterns in Genesis of Breast Cancer Tumor
• Realistic Simulation of Event-Related Potentials and their usual Noise and Interferences for Pattern Recognition
• Chest X-ray Imaging Severity Score of COVID-19 Pneumonia
• Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples
• Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms
• Retinal Artery and Vein Segmentation using an Image-to-image Conditional Adversarial Network
• Evaluation of Heatmaps as an Explicative Method for Classifying Acute Lymphoblastic Leukemia Cells
• Language Processing and Recognition: Machine Learning Models Applied in Sign Language Recognition
• Urdu Semantic Parsing: An Improved SEMPRE Framework for Conversion of Urdu Language Web Queries to Logical forms
• Improving the Identification of Abusive Language through Careful Design of Pre-training Tasks
• Industrial Applications of Pattern Recognition: TOPSIS Method for Multiple-Criteria Decision-Making Applied to Trajectory Selection for Autonomous Driving
• Machine-learning based Estimation of the Bending Magnitude Sensed by a Fiber Optic Device
• Graph-based Semi-Supervised Learning using Riemannian Geometry Distance for Motor Imagery Classification

This book constitutes the refereed proceedings of the 15th Mexican Conference on Pattern Recognition, MCPR 2023, held in Tepic, Mexico, during June 21–24, 2023. The 30 full papers presented in this book were carefully reviewed and selected from 61 submissions. The papers are divided into the following topical sections: pattern recognition and machine learning techniques; deep learning and neural networks; medical applications of pattern recognition; language processing and recognition; and industrial applications of pattern recognition

• Theory and Methods Reduced Precision Research of a GAN Image Generation Use-case.- Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks.- Retinotopic Image Encoding by Samples of Counts.- Gesture Recognition and Multi-Modal Fusion on a New Hand Gesture Dataset.- Adaptive Sampling for Weighted Log-rank Survival Trees Boosting.- Applications Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities using Time-series Analysis during Transient System States.- Exploiting Temporal Coherence to Improve Person Re-identification.- Perusal of Camera Trap Sequences across Locations.
• (source: Nielsen Book Data)

This book contains revised and extended versions of selected papers from the 10th and 11th International Conference on Pattern Recognition, ICPRAM 2021 and 2022, held in February 2021 and 2022. Due to COVID-19 pandemic the conferences were held virtually. Both conferences received in total 204 submissions from which 8 full papers were carefully reviewed and selected for presentation in this volume. The papers span a wide range of investigation as well as development lines, which of course always reflect the last trends of research in the pattern recognition community.
(source: Nielsen Book Data)

• Physical Attacks.- Time's a Thief of Memory: Breaking Multi-tenant Isolation in TrustZones through Timing based Bidirectional Covert Channels.- Combined Fault Injection and Real-Time Side-Channel Analysis for Android Secure-Boot Bypassing.- A Practical Introduction to Side-Channel Extraction of Deep Neural Network Parameters.- Physical Countermeasures.- A Nearly Tight Proof of Duc et al.s Conjectured Security Bound for Masked Implementations.- Short-Iteration Constant-Time GCD and Modular Inversion.- Protecting AES.- Guarding the First Order: The Rise of AES Maskings.- Rivain-Prouff on Steroids: Faster and Stronger Masking of the AES.- Self-Timed Masking: Implementing Masked S-Boxes Without Registers.- Evaluation Methodologies.- An Evaluation Procedure for Comparing Clock Jitter Measurement Methods.- Comparing Key Rank Estimation Methods.- Cycle-Accurate Power Side-Channel Analysis Using the ChipWhisperer: a Case Study on Gaussian Sampling.- Attacking NTRU.- Reveal the Invisible Secret: Chosen-Ciphertext Side-Channel Attacks on NTRU.- Security Assessment of NTRU Against Non-Profiled SCA.- Next-Generation Cryptography.- Post-Quantum Protocols for Banking Applications.- Analyzing the Leakage Resistance of the NIST's Lightweight Crypto Competition's Finalists.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 21st International Conference on Smart Card Research and Advanced Applications, CARDIS 2022, which took place in November 2022. The conference took place in Birmingham, United Kingdom. The 15 full papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in topical sections named: physical attacks; physical countermeasures; protecting AES; evaluation methodologies; attacking NTRU; next-generation cryptography.
(source: Nielsen Book Data)

• On Geometric Shape Construction via Growth Operations.- Optimal and Heuristic Algorithms for Data Collection by Using an Energy- and Storage-Constrained Drone.- Blackout-tolerant Temporal Spanners.- Molecular robots with chirality on grids.- Centralised Connectivity-Preserving Transformations by Rotation: 3 Musketeers for all Orthogonal Convex Shapes.- Triangle Evacuation of 2 Agents in the Wireless Model.- Resource time-sharing for IoT applications with deadlines.- Fault-Tolerant Graph Realizations in the Congested Clique.- The Complexity of Growing a Graph.- Dispersing Facilities on Planar Segment and Circle Amidst Repulsion.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 18th International Symposium on Algorithmics of Wireless Network, ALGOSENSORS 2022, which took place in Potsdam, Germany in September 2022. The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions. ALGOSENSORS is an international symposium dedicated to algorithmic aspects of wireless networks.
(source: Nielsen Book Data)

• Fingerprint, Palmprint and Vein Recognition.- A Finger BiModal Fusion Algorithm based on Improved DenseNet.- A lightweight segmentation network based on extraction.- A novel multi-layered minutiae extractor based on OCT fingerprints.- An overview and forecast of biometric recognition technology used in forensic science.- Combining Band-Limited OTSDF Filter and Directional Representation for Palmprint Recognition.- Cross-Dataset Image Matching Network for Heterogeneous Palmprint Recognition.- DUAL MODE NEAR-INFRARED SCANNER FOR IMAGING DORSAL HAND VEINS.- Multi-Stream Convolutional Neural Networks Fusion for Palmprint Recognition.- Multi-view Finger Vein Recognition using Attention-based MVCNN.- SELECTIVE DETAIL ENHANCEMENT ALGORITHM FOR FINGER VEIN IMAGES.- SP-FVR: SuperPoint-based Finger Vein Recognition.- TransFinger: Transformer based Finger Tri-modal Biometrics.- Face Detection, Recognition and Tracking.- A Survey of Domain Generalization-based Face Anti-spoofing.- An Empirical Comparative Analysis of Africans with Asians using DCNN Facial Biometric Models.- Disentanglement of Deep Features for Adversarial Face Detection.- Estimation of Gaze-Following Based on Transformer and the Guiding Offset.- Learning Optimal Transport Mapping of Joint Distribution for Cross-Scenario Face Anti-Spooffing.- MLFW: A Database for Face Recognition on Masked Faces.- Multi-scale object detection algorithm based on adaptive feature fusion.- Sparsity-Regularized Geometric Mean Metric Learning for Kinship Verification.- YoloMask: An Enhanced YOLO Model for Detection of Face Mask Wearing Normality, Irregularity and Spoofing.- Gesture and Action Recognition.- Adaptive Joint Interdependency Learning for 2D Occluded Hand Pose Estimation.- Contrastive and Consistent Learning for Unsupervised Human Parsing.- Dynamic Hand Gesture Authentication Based on Improved Two-stream CNN.- Efficient Video Understanding-based Random Hand Gesture Authentication.- Multidimension Joint Networks for Action Recognition.- Multi-Level Temporal-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition.- Research on Gesture Recognition of Surface EMG Based on Machine Learning.- Affective Computing and Human-Computer Interface.- Adaptive Enhanced Micro-expression Spotting Network based on Multi-stage Features Extraction.- Augmented Feature Representation with Parallel Convolution for Cross-domain Facial Expression Recognition.- Hemispheric Asymmetry Measurement Network for Emotion Classification.- Human Action Recognition Algorithm of Non-Local Two-Stream Convolution Network Based on Image Depth Flow.- Synthetic Feature Generative Adversarial Network for Motor Imagery Classification: Create Feature from Sampled Data.- Speaker and Speech Recognition.- An End-to-end Conformer-based Speech Recognition Model for Mandarin Radiotelephony Communications in Civil Aviation.- ATRemix: An Auto-Tune Remix Dataset for Singer Recognition.- Low-resource speech keyword search based on residual neural network.- Online Neural Speaker Diarization with Core Samples.- Pose-unconstrainted 3D Lip Behaviometrics via Unsupervised Symmetry Correction.- Virtual Fully-Connected Layer for a Large-Scale Speaker Verification Dataset.- Gait, Iris and Other Biometrics.- A Simple Convolutional Neural Network for Small Sample Multi-lingual Offline Handwritten Signature Recognition.- Attention Skip Connection Dense Network for Accurate Iris Segmentation.- Gait Recognition with Various Data Modalities: A Review.- INCREMENTAL EEG BIOMETRIC RECOGNITION BASED ON EEG RELATION NETWORK.- Salient Foreground-Aware Network for Person Search.- Shoe print retrieval algorithm based on improved ecientnetV2.- Multi-modal Biometric Recognition and Fusion.- A novel dual-modal biometric recognition method based on weighted joint group sparse representation classification.- FINGER TRIMODAL FEATURES CODING FUSION METHOD.- Fusion of Gait and Face for Human Identification at the Feature Level.- Gait Recognition in Sensing Insoles: a study based on a Hybrid CNN-Attention-LSTM Network.- Identity Authentication Using a Multimodal Sensing Insole a Feasibility Study.- MDF-Net: Multimodal Deep Fusion for Large-scale Product Recognition.- Survey on Deep Learning based Fusion Recognition of Multimodal Biometrics.- Synthesizing Talking Face Videos with a Spatial Attention Mechanism.- Quality Evaluation and Enhancement of Biometric Signals.- Blind Perceptual Quality Assessment for Single Image Motion Deblurring.- Low-illumination Palmprint Image Enhancement Method Based On U-Net Neural Network.- Texture-guided multiscale feature learning network for palmprint image quality assessment.- Animal Biometrics.- An Adaptive Weight Joint Loss Optimization For Dog Face Recognition.- Improved YOLOv5 for Dense Wildlife Object Detection.- Self-Attention based Cross-level Fusion Network for Camou aged Object Detection.- Trustyworth, Privacy and Persondal Data Security.- Face Forgery Detection by Multi-dimensional Image Decomposition.- IrisGuard: Image Forgery Detection for Iris Anti-spooffing.- Multi-branch network with circle loss using voice conversion and channel robust data augmentation for synthetic speech detection.- Spoof Speech Detection Based on Raw Cross-dimension Interaction Attention Network.- Medical and Other Applications.- A Deformable Convolution Encoder with Multi-Scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images.- GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers.- Grading Diagnosis of Sacroiliitis in CT Scans Based on Radiomics and Deep Learning.- Noninvasive blood pressure waveform measurement method based on CNN-LSTM.- Recurrence Quantification Analysis of Cardiovascular System During Cardiopulmonary Resuscitation.- UAV AERIAL PHOTOGRAPHY TRAFFIC OBJECT DETECTION BASED ON LIGHTWEIGHT DESIGN AND FEATURE FUSION.- UMixer: A novel U-shaped convolutional mixer for multi-scale feature fusion in Medical Image Segmentation.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 16th Chinese Conference on Biometric Recognition, CCBR 2022, which took place in Beijing, China, in November 2022. The 70 papers presented in this volume were carefully reviewed and selected from 115 submissions. The papers cover a wide range of topics such as Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Gesture and Action Recognition; Affective Computing and Human-Computer Interface; Speaker and Speech Recognition; Gait, Iris and Other Biometrics; Multi-modal Biometric Recognition and Fusion; Quality Evaluation and Enhancement of Biometric Signals; Animal Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
(source: Nielsen Book Data)

• High Level Synthesis.- High-Level Synthesis of Digital Circuits from Template Haskell and SDF-AP 1 H. H.
• Implementing Synthetic Aperture Radar Backprojection in Chisel - A Field Report.- EasyHBM: Simple and Fast HBM Access for FPGAs using High-Level Synthesis.- Memory Systems.- TREAM: A Tool for Evaluating Error Resilience of Tree-based Models using Approximate Memory.- Split'n'Cover: ISO 26262 Hardware Safety Analysis with SystemC.- Tagged Geometric History Length Access Interval Prediction for Tightly Coupled Memory Systems.- Processor Architecture.- NanoController: A Minimal and Flexible Processor Architecture for UltraLow-Power.- ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration.- Embedded Software Systems and beyond.- CASA: An Approach for exposing and documenting Concurrency-related Software Properties.- High-Level Simulation of Embedded Software Vulnerabilities to EM SideChannel Attacks.- Deep Learning Optimization I.- A Design Space Exploration Methodology for Enabling Tensor Train Decomposition in Edge Devices.- Study of DNN-based Ragweed Detection from Drones.- PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-Core MCUs through Performance-Driven Autotuning.- Extra-functional Property Estimation.- The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study.- Application runtime estimation for AURIX embedded MCU using deep learning.- A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-Core Platforms.- Deep Learning Optimization I.- A Smart HW-Accelerator for Non-Uniform Linear Interpolation of MLActivation Functions.- Hardware-Aware Evolutionary Filter Pruning.- Innovative Architectures and tools for Security.- Obfuscating the Hierarchy of a Digital IP.- On the effectiveness of true random number generators implemented on FPGAs.- Power and Energy.- SIDAM: A Design Space Exploration Framework for Multi-Sensor Embedded Systems Powered by Energy Harvesting.- A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 21 full papers presented in this volume were carefully reviewed and selected from 44 submissions. The papers are organized in topics as follows: High level synthesis; memory systems; processor architecture; embedded software systems and beyond; deep learning optimization; extra-functional property estimation; innovative architectures and tools for security; european research projects on digital systems, services, and platforms.
(source: Nielsen Book Data)

• IoT Enabling Technologies.- Overview of Drone Communication Requirements in 5G.- Accurate indoor positioning based on beacon weighting using RSSI.- Adaptive Data-Driven Routing for Edge-to-Cloud Continuum: a Content-Based Publish/Subscribe Approach.- Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building.- IntellIoT: Intelligent IoT Environments.- An Interoperable Framework for Heterogeneous IoT Infrastructure to Unlock Data Value.- Task offloading in Computing Continuum using collaborative reinforcement learning.- Assessing Efficiency Benefits of Edge Intelligence.- IoT Applications, Services and Real Implementations.- A Smart IoT Gateway capable of Prescreening for Atrial Fibrillation.- Internet of Things with web technologies solution for flood notification in S~ao Paulo.- Wi-Monitor: Wi-Fi Channel State Information-based Crowd Counting with Lightweight and Low-cost IoT Devices.- Design of a next-generation interoperable Cognitive Port Solution.- Conceptual Framework of Contact-less Consumer Products Industry during and Post-Pandemic Era.- Blockchain for economy of scale in wind industry: A Demo Case.- Sleep Stage detection on a Wearable Headband using Deep Neural Networks.- A Comparative Study on Energy Consumption Models for Drones.- ConQeng: A Middleware for Quality of Context Aware Selection, Measurement and Validation.- Automating Heterogeneous IoT Device Networks from Multiple Brokers with Multiple Data Models.- A Persuasive system for Stress Detection and Management in an Educational Environment.- Domain Generalization on Constrained Platforms: on the Compatibility with Pruning Techniques.- IoT Security, Privacy and Data Protection.- A low-overhead approach for self-sovereign identity in IoT.- An Analysis of Process Parameters for the Optimization of Specific Emitter Identification Under Rayleigh Fading.- Secure Image Data Storage And Transmission Using ESP32-Cam And Raspberry Pi With Steganography.- Modelling of Resource-aware Information Exchange for Resource Constraint IoT Devices.- IRIS Advanced Threat Intelligence Orchestrator- A way to manage cybersecurity challenges of IoT ecosystems in Smart Cities.- Federated learning-based IoT intrusion detection on non-IID data.- A holistic approach for IoT networks' identity and trust management - The ERATOSTHENES project.- A holistic approach for IoT networks' identity and trust management - The ERATOSTHENES project.- ARCADIAN-IoT - Enabling Autonomous Trust, Security and PrivacyManagement for IoT.- IoT Pilots, Testbeds and Experimentation Results.- GAIA 5G: A Multi-Access Smart-Campus Architecture.- IoT Device for Reduction of Roe Deer Fawn Mortality During Haymaking.- Latency and Energy Consumption of Convolutional Neural Network Models from IoT Edge Perspective.- Industry-Academia Cooperation: Applied IoT Research for SMEs in South-East Sweden.- Experiment to scope Low Carbon Electricity based Additive Manufacturing with IoT.
• (source: Nielsen Book Data)

This book constitutes revised selected papers from the refereed proceedings of the 5th The Global IoT Summit, GIoTS 2022, which took place in Dublin, Ireland, in June 20-23, 2022. The 33 full papers included in this book were carefully reviewed andselected from 75 submissions. They were organized in topical sections as follows: ioT enabling technologies; ioT applications, services and real implementations; ioT security, privacy and data protection; and ioT pilots, testbeds and experimentation results.
(source: Nielsen Book Data)

• Pattern Recognition Techniques.- Hot Spots & Hot Regions Detection using Classification Algorithms in BMPs Complexes at the Protein-protein Interface with the Ground-state Energy Feature.- Clustering of Twitter Networks based on Users' Structural Profile.- Changing Model from NGSIM Dataset.- A Robust Fault Diagnosis Method in Presence of Noise and Missing Information for Industrial Plants.- A Preliminary Study of SMOTE on Imbalanced Big Datasets when Dealing with Sparse and Dense High Dimensionality.- A Novel Survival Analysis-based Approach for Predicting Behavioral Probability of Mining Mixed Data Bases using Machine Learning Algorithms.- Networks and Deep Learning A CNN-based Driver's Drowsiness and Distraction Detection System.- 3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain.- Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification.- Deep Variational Method with Attention for High-Definition Face Generation.- Indoor Air Pollution Forecasting using Deep Neural Networks.- Extreme Machine Learning Architectures based on Correlation.- Image & Signal Processing and Analysis Evaluating New Set of Acoustical Features for Cry Signal Classification.- Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach.- Virtualizing 3D Real Environments Using 2D Pictures Based on Photogrammetry.- Factorized U-net for Retinal Vessel Segmentation.- Multi-view Learning for EEG Signal Classification of Imagined Speech.- Escalante Emotion Recognition using Time-frequency Distribution and GLCM Features from EEG Signals.- Natural Language Processing and Recognition Leveraging Multiple Characterizations of Social Media Users for Depression Detection Using Data Fusion.- A Wide & Deep Learning Approach for Covid-19 Tweet Classification.- Does this Tweet Report an Adverse Drug Reaction? An Enhanced BERT-based Method to Identify Drugs Side Effects in Twitter.- We Will Know Them by Their Style: Fake News Detection based on Masked n-grams.- Multi-Document Text Summarization based on Genetic Algorithm and the Relevance of Sentence Features.- Robotics & Remote Sensing Applications of Pattern Recognition On Labelling Pointclouds with the Nearest Facet of Triangulated Building Models.- Dust Deposition Classification on the Receiver Tube of the Parabolic Trough Collector: A Deep Learning-based Approach.- Detection of Pain Caused By A Thermal Stimulus Using EEG and Machine Learning.- Data Mining.- Natural Language Processing and Recognition.- Document Processing and Recognition.- Fuzzy and Hybrid Techniques in Pattern Recognition.- Image Coding, Processing and Analysis.- Industrial and Medical Applications of Pattern Recognition.- Bioinformatics.- Logical Combinatorial Pattern Recognition.- Mathematical Morphology.- Artificial Intelligence Techniques and Recognition.- Pattern Recognition Principles.- Robotics & Remote Sensing Applications of Pattern Recognition.- Shape and Texture Analysis.- Signal Processing and Analysis.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 14th Mexican Conference on Pattern Recognition, MCPR 2022, which was held in planned to be held Ciudad Juarez, Mexico, in June 2022. The 33 papers presented in this volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: pattern recognition techniques; neural networks and deep learning; image and signal processing and analysis; natural language processing and recognition; robotics and remote sensing applications of pattern recognition; medical applications of pattern recognition.
(source: Nielsen Book Data)

• One-Shot Image Learning Using Test-Time Augmentation.- Offline Handwritten Mathematical Expression Recognition via Graph Reasoning Network.- Circulant Tensor Graph Convolutional Network for Text Classification.- NASformer: Neural Architecture Search for Vision Transformer.- Interference Distillation for Underwater Fish Recognition.- Action and Video and Motion.- Contact-Less Heart Rate Detection in Low Light Videos.- Spatio-temporal Weight of Active Region for Human Activity Recognition.- Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation.- SARNN: A Spatiotemporal Prediction Model for Reducing Error Transmissions.- 3OFRR-SLAM: Visual SLAM with 3D-assisting Optical Flow and Refined-RANSAC.- Motor Imagery Classification based on local log Riemannian distance matrices selected by confusion area score.- Distance-GCN for Action Recognition.- Causal Intervention Learning for Multi-Person Pose Estimation.- Object Detection and Anomaly.- Weakly Supervised Salient Object Detection with Box Annotation.- Foreground-Background Collaboration Network for Salient Object Detection.- Attention Guided Multi-level Feedback Network for Camouflage Object Detection.- Confidence-aware Anomaly Detection in Human Actions.- Segmentation, Grouping and Shape.- 1D Self-Attention Network for Point Cloud Semantic Segmentation using Omnidirectional LiDAR.- COMatchNet: Co-Attention Matching Network for Video Object Segmentation.- Unsupervised Domain Adaptive Point Cloud Semantic Segmentation.- Towards the Target: Self-Regularized Progressive Learning for Unsupervised Domain Adaptation on Semantic Segmentation.- TFNet: Transformer Fusion Network for Ultrasonic Image Segmentation.- Spatial Pyramid-based Wavelet Embedding Deep Convolutional Neural Network for Semantic Segmentation.- CFFNet: Cross-scale Feature Fusion Network for Real-time Semantic Segmentatio.- Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception.- ARTSeg: Employing Attention for Thermal images Semantic Segmentation.- Robust Frequency-Aware Instance Segmentation for Serial Tissue Sections.- Joint Semantic Segmentation and Edge Detection for Waterline Extraction.- Face and Body and Biometrics.- Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation.- Pose Sequence Generation with a GCN and an Initial Pose Generator.- Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing.- Face Anti-Spoofing via Robust Auxiliary Estimation and Discriminative Feature Learning.- PalmNet: A Robust Palmprint Minutiae Extraction Network.- Multi-stage Domain Adaptation for Subretinal Fluid Classification in Cross-device OCT Images.- SaME: Sharpness-Aware Matching Ensemble for Robust Palmprint Recognition.- Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis.- Joint Multi-feature Learning for Facial Age Estimation.- Is CNN Really Looking at Your Face?
• NFW: Towards National and Individual Fairness in Face Recognition.- Adversarial Learning and Networks.- Unsupervised Fabric Defect Detection Based on DCGAN with Component-encoder.- Proactive Student Persistence Prediction in MOOCs via Multi-Domain Adversarial Learning.- Computational Photography.- Deep Rejoining Model for Oracle Bone Fragment Images.- Spatial Spectral Joint Correction Network for Hyperspectral and Multispectral Image Fusion.- Learning Theory and Optimization.- Softplus Function: Extensions of Activation Function and Loss Function by using q-Space.- Super-class Mixup for Adjusting Training Data.- Drop "Noise" Edge: An Approximation of the Bayesian GNNs.- Fast Proximal Policy Optimization.
• (source: Nielsen Book Data)

This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.
(source: Nielsen Book Data)

• One-Shot Image Learning Using Test-Time Augmentation.- Offline Handwritten Mathematical Expression Recognition via Graph Reasoning Network.- Circulant Tensor Graph Convolutional Network for Text Classification.- NASformer: Neural Architecture Search for Vision Transformer.- Interference Distillation for Underwater Fish Recognition.- Action and Video and Motion.- Contact-Less Heart Rate Detection in Low Light Videos.- Spatio-temporal Weight of Active Region for Human Activity Recognition.- Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation.- SARNN: A Spatiotemporal Prediction Model for Reducing Error Transmissions.- 3OFRR-SLAM: Visual SLAM with 3D-assisting Optical Flow and Refined-RANSAC.- Motor Imagery Classification based on local log Riemannian distance matrices selected by confusion area score.- Distance-GCN for Action Recognition.- Causal Intervention Learning for Multi-Person Pose Estimation.- Object Detection and Anomaly.- Weakly Supervised Salient Object Detection with Box Annotation.- Foreground-Background Collaboration Network for Salient Object Detection.- Attention Guided Multi-level Feedback Network for Camouflage Object Detection.- Confidence-aware Anomaly Detection in Human Actions.- Segmentation, Grouping and Shape.- 1D Self-Attention Network for Point Cloud Semantic Segmentation using Omnidirectional LiDAR.- COMatchNet: Co-Attention Matching Network for Video Object Segmentation.- Unsupervised Domain Adaptive Point Cloud Semantic Segmentation.- Towards the Target: Self-Regularized Progressive Learning for Unsupervised Domain Adaptation on Semantic Segmentation.- TFNet: Transformer Fusion Network for Ultrasonic Image Segmentation.- Spatial Pyramid-based Wavelet Embedding Deep Convolutional Neural Network for Semantic Segmentation.- CFFNet: Cross-scale Feature Fusion Network for Real-time Semantic Segmentatio.- Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception.- ARTSeg: Employing Attention for Thermal images Semantic Segmentation.- Robust Frequency-Aware Instance Segmentation for Serial Tissue Sections.- Joint Semantic Segmentation and Edge Detection for Waterline Extraction.- Face and Body and Biometrics.- Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation.- Pose Sequence Generation with a GCN and an Initial Pose Generator.- Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing.- Face Anti-Spoofing via Robust Auxiliary Estimation and Discriminative Feature Learning.- PalmNet: A Robust Palmprint Minutiae Extraction Network.- Multi-stage Domain Adaptation for Subretinal Fluid Classification in Cross-device OCT Images.- SaME: Sharpness-Aware Matching Ensemble for Robust Palmprint Recognition.- Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis.- Joint Multi-feature Learning for Facial Age Estimation.- Is CNN Really Looking at Your Face?
• NFW: Towards National and Individual Fairness in Face Recognition.- Adversarial Learning and Networks.- Unsupervised Fabric Defect Detection Based on DCGAN with Component-encoder.- Proactive Student Persistence Prediction in MOOCs via Multi-Domain Adversarial Learning.- Computational Photography.- Deep Rejoining Model for Oracle Bone Fragment Images.- Spatial Spectral Joint Correction Network for Hyperspectral and Multispectral Image Fusion.- Learning Theory and Optimization.- Softplus Function: Extensions of Activation Function and Loss Function by using q-Space.- Super-class Mixup for Adjusting Training Data.- Drop "Noise" Edge: An Approximation of the Bayesian GNNs.- Fast Proximal Policy Optimization.
• (source: Nielsen Book Data)

This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.
(source: Nielsen Book Data)

• Biomedical Image Processing and Analysis.- ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection.- BiDFNet: Bi-decoder and Feedback Network for Automatic Polyp Segmentation with Vision Transformers.- FundusGAN: A One-Stage Single Input GAN for Fundus Synthesis.- DIT-NET: Joint Deformable Network and Intra-class Transfer GAN for cross-domain 3D Neonatal Brain MRI segmentation.- Classification of sMRI Images for Alzheimer's Disease by Using Neural Networks.- Semi-Supervised Distillation Learning Based on Swin Transformer for MRI Reconstruction.- Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification.- Automatic glottis segmentation method based on lightweight U-net.- Decouple U-Net: A Method for the Segmentation and Counting of Macrophages in Whole Slide Imaging.- A Zero-training Method for RSVP-based Brain Computer Interface.- An improved tensor network for image classification in histopathology.- DeepEnReg: Joint Enhancement and Ane Registration for Low-contrast Medical Images.- Fluorescence Microscopy Images Segmentation based on Prototypical Networks with a few Annotations.- SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image.- Cascade Multiscale Swin-Conv Network for Fast MRI Reconstruction.- DEST: Deep Enhanced Swin Transformer toward Better Scoring for NAFLD.- CTCNet: A Bi-directional Cascaded Segmentation Network Combining Transformers with CNNs for Skin Lesions.- MR Image Denoising Based On Improved Multipath Matching Pursuit Algorithm.- Statistical characteristics of 3-D PET imaging: a comparison between conventional and total-body PET scanners.- Unsupervised medical image registration based on multi-scale cascade network.- A Novel Local-global Spatial Attention Network for Cortical Cataract Classification in AS-OCT.- PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal fundus Photography.- Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction.- Robust Liver Segmentation Using Boundary Preserving Dual Attention Network.- msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation.- Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning.- MultiGAN: multi-domain image translation from OCT to OCTA_ TransPND: A Transformer based Pulmonary Nodule Diagnosis Method on CT Image.- Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment.- A 2.5D Coarse-to-fine Framework for 3D Cardiac CT View Planning.- Weakly Supervised Semantic Segmentation of Echocardiography Videosvia Multi-level Features Selection.- DPformer: Dual-path transformers for geometric and appearancefeatures reasoning in diabetic retinopathy grading.- Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography.- Manifold-Driven and Feature Replay Lifelong Representation Learning on Person ReID.- Multi-source information-shared domain adaptation for EEG emotion recognition.- Spatial-Channel Mixed Attention based Network for Remote Heart Rate Estimation.- Weighted Graph Based Feature Representation for Finger-Vein Recognition.- Self-Supervised Face Anti-Spoofng via Anti-Contrastive Learning.- Counterfactual Image Enhancement for Explanation of Face Swap Deepfakes.- Improving Pre-trained Masked Autoencoder with Locality Enhancement for Person Re-identification.- MINIPI : a MultI-scale Neural network based impulse radio ultra-wideband radar Indoor Personnel Identification method.- PSU-Net: Paired Spatial U-Net for hand segmentation with complex backgrounds.- Pattern Classification and Clustering.- Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading.- Learning to Cluster Faces with Mixed Face Quality.- Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data.- Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering.- Combating Noisy Labels via Contrastive Learning with Challenging Pairs.- Semantic Center Guided Windows Attention Fusion Framework for Food Recognition.- Adversarial Bidirectional Feature Generation for Generalized Zero-Shot Learning under Unreliable Semantics.- Exploiting Robust Memory Features for Unsupervised Reidentification.- TIR: A Two-stage Insect Recognition method for convolutional neural network.- Discerning Coteaching: A Deep Framework for Automatic Identification of Noise Labels.- VDSSA: Ventral & Dorsal Sequential Self-attention AutoEncoder for Cognitive-Consistency Disentanglement.- Bayesian Neural Networks with Covariate Shift Correction for Classification in -ray Astrophysics.
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The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
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• 3D Computer Vision and Reconstruction, Robots and Autonomous Driving.- Locally Geometry-Aware Improvements of LOP for Ecient Skeleton Extraction.- Spherical Transformer: Adapting Spherical Signal to Convolutional Networks.- Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation.- Sparse LiDAR and Binocular Stereo Fusion Network for 3D Object Detection.- Full Head Performance Capture Using Multi-Scale Mesh Propagation.- Learning Cross-domain Features for Domain Generalization on Point Clouds.- Unsupervised Pre-training for 3D Object Detection with Transformer.- Global Patch Cross-Attention for Point Cloud Analysis.- EEP-Net: Enhancing local neighborhood features and Ecient semantic segmentation of scale Point Clouds.- CARR-Net: Leveraging on Subtle Variance of Neighbors for Point Cloud Semantic Segmentation.- 3D Meteorological Radar Data Visualization with Point Cloud Completion and Poisson Surface Reconstruction.- JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario.- A Single-pathway Biomimetic Model for Potential Collision Prediction.- PilotAttnNet: Multi-Modal Attention Network for End-to-End SteeringControl.- Stochastic Navigation Command Matching for Imitation Learning of a Driving Policy.- Recognition, Remote Sensing.- Group Activity Representation Learning with Self-Supervised Predictive Coding.- Skeleton-Based Action Quality Assessment via Partially Connected LSTM with Triplet Losses.- Hierarchical Long-Short Transformer for Group Activity Recognition.- GNN-based structural dynamics simulation for modular buildings.- Semantic-Augmented Local Decision Aggregation Network for Action Recognition.- Consensus-Guided Keyword Targeting for Video Captioning.- Handwritten Mathematical Expression Recognition via GCAttention- Based Encoder and Bidirectional Mutual Learning Transformer.- Semi- and Self-Supervised Learning for Scene Text Recognition with Fewer Labels.- TMCR: A Twin Matching Networks for Chinese Scene Text Retrieval.- Thai Scene Text Recognition with Character Combination.- Automatic Examination Paper Scores Calculation and Grades Analysis Based on OpenCV.- Efficient License Plate Recognition via Parallel Position-aware Attention.- Semantic-Aware Non-Local Network for Handwritten Mathematical Expression Recognition.- Math Word Problem Generation with Memory Retrieval.- Traditional Mongolian Script Standard Compliance Testing Based on Deep Residual Network and Spatial Pyramid Pooling.- FOV Recognizer: Telling the Field of View of Movie Shots.- Multi-Level Temporal Relation Graph for Continuous Sign Language Recognition.-Beyond Vision: A Semantic Reasoning Enhanced Model for Gesture Recognition with Improved Spatiotemporal Capacity.- SemanticGAN: Facial Image Editing with Semantic to Realize Consistency.- Least-squares Estimation of Keypoint Coordinate for Human Pose Estimation.- Joint Pixel-level and Feature-level Unsupervised Domain Adaptation for Surveillance Face Recognition.- Category-oriented Adversarial Data Augmentation via Statistic Similarity for Satellite Images.- A Multi-scale Convolutional Neural Network Based on Multilevel Wavelet Decomposition for Hyperspectral Image Classification.- High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Feature.- Feature Difference Enhancement Fusion for Remote Sensing Image Change Detection.- WAFormer Ship Detection in SAR Images Based on Window-aware Swin-Transformer.- EllipseIoU: A General Metric for Aerial Object Detection.- Transmission tower detection algorithm based on feature-enhanced convolutional network in remote sensing image.- Vision Analysis and Understanding.- Mining Diverse Clues with Transformers for Person Re-identification.- Mutual Learning Inspired Prediction Network for Video Anomaly Detection.- Weakly Supervised Video Anomaly Detection with Temporal and Abnormal Information.- Towards Class Interpretable Vision Transformer with Multi-Class-Tokens.- Multimodal Violent Video Recognition based on Mutual Distillation.- YFormer: a New Transformer Architecture for Video-query Based Video Moment Retrieval.- Hightlight Video Detection in Figure Skating.- Memory Enhanced Spatial-Temporal Graph Convolutional Autoencoder for Human-related Video Anomaly Detection.- Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection.- Dirt Detection and Segmentation Network for Autonomous Washing Robots.- Finding Beautiful and Happy Images for Mental Health and Well-being Applications.- Query-UAP: Query-ecient Universal Adversarial Perturbation for Large-scale Person Re-Identification Attack.- Robust Person Re-identification with Adversarial Examples Detection and Perturbation Extraction.- Self-Supervised and Template-Enhanced Unknown-Defect Detection.- JoinTW: A Joint Image-to-Image Translation and Watermarking Method.
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The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
(source: Nielsen Book Data)

• Image Processing and Low-level Vision.- Video Deraining via Temporal Discrepancy Learning.- Multi-priors Guided Dehazing Network Based on Knowledge Distillation.- DLMP-Net: a dynamic yet lightweight multi-pyramid network for crowd density estimation.- CHENet: Image to Image Chinese Handwriting Eraser.- Identidication method for rice pests with small sample size problem combining deep learning and metric learning.- Boundary-Aware Polyp Segmentation Network.- SUDANet:A Siamese UNet with Dense Attention Mechanism for Remote Sensing Image Change Detection.- A Local-Global Self-attention Interaction Network for RGB-D Cross-modal Person Re-identification.- A RAW Burst Super-Resolution Method with Enhanced Denoising.- Unpaired and Self-supervised Optical Coherence Tomography Angiography Super-resolution.- Multi-Feature Fusion Network for Single Image Dehazing.- LAGAN: Landmark Aided Text to Face Sketch Generation.- DMF-CL: Dense Multi-scale Feature Contrastive Learning for Semantic segmentation of Remote-sensing images.- Image derain method for generative adversarial network based on wavelet high frequency feature fusion.- GPU-Accelerated Infrared Patch-Image Model for Small Target Detection.- Hyperspectral and Multispectral Image Fusion Based on Unsupervised Feature Mixing and Reconstruction Network.- Information Adversarial Disentanglement for Face Swapping.- A Dense Prediction ViT Network for Single Image Bokeh Rendering.- Multi-scale Coarse-to-fine Network for Demoiring.- Learning Contextual Embedding Deep Networks for Accurate and Efficient Image Deraining.- A Stage-Mutual-Ane Network for Single Remote Sensing Image Super-Resolution.- Style-based Attentive Network for Real-World Face Hallucination.- Cascade Scale-aware Distillation Network for Lightweight RemoteSensing Image Super-Resolution.- Few-Shot Segmentation via Rich Prototype Generation and RecurrentPrediction Enhancement.- Object Detection, Segmentation and Tracking.- TAFDet: A Task Awareness Focal Detector for Ship Detection in SAR Images.- MSDNet:Multi-scale Dense Networks for Salient Object Detection.- WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation.- Infrared Object Detection Algorithm Based on Spatial Feature Enhancement.- Object Detection Based on Embedding Internal and External Knowledge.- ComLoss: A Novel Loss towards More Compact Predictions for Pedestrian Detection.- Remote sensing image detection based on attention mechanism and YOLOv5.- Detection of Pin Defects in Transmission Lines Based on Dynamic Receptive Field.- Identification of bird s nest hazard level of transmission line based on improved yolov5 and location constraints.- Image Magnification Network for Vessel Segmentation in OCTA Images.- CFA-Net: Cross-level Feature Fusion and Aggregation Network for Salient Object Detection.- Disentangled Feature Learning for Semi-supervised Person Re-identification.- Detection Beyond What and Where: A Benchmark for Detecting Occlusion State.- Weakly Supervised Object Localization with Noisy-Label Learning.- Enhanced Spatial Awareness For Deep Interactive Image Segmentation.- Anchor-Free Location Refinement Network for Small License Plate Detection.- Multi-View LiDAR Guided Monocular 3D Object Detection.- Dual Attention-guided Network for Anchor-free Apple Instance Segmentation in Complex Environments.- Attention-Aware Feature Distillation for Object Detection in Decompressed Images.- Cross-Stage Class-Specific Attention for Image Semantic Segmentation.- Defect Detection for High Voltage Transmission Lines Based on Deep Learning.- ORION: Orientation-Sensitive Object Detection.- An Infrared Moving Small Object Detection Method Based on Trajectory Growth.- Two-stage Object Tracking Based on Similarity Measurement for FusedFeatures of Positive and Negative Samples.- PolyTracker: Progressive Contour Regression for Multiple ObjectTracking and Segmentation.- Dual-branch Memory Network for Visual Object Tracking.- Instance-wise Contrastive Learning for Multi-Object Tracking.- Information Lossless Multi-Modal Image Generation for RGB-T Tracking.- JFT: A Robust Visual Tracker Based on Jitter Factor and Global Registration.- Caged Monkey Dataset: A New Benchmark for Caged Monkey Pose Estimation.- WTB-LLL: A Watercraft Tracking Benchmark Derived by Low-light-level Camera.- Dualray: Dual-view X-ray Security Inspection Benchmark and FusionDetection Framework.
• (source: Nielsen Book Data)

The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
(source: Nielsen Book Data)

• Cryptography.- Cryptographic Protocols.- Protocol Analysis.- CPSA.- Cybersecurity.- Formal Methods.- Strand Spaces.- Automated Verification.- Model Finding.- Logic.- Attestation.- Accountability.- Differential Privacy.- Quantum Computing.- Game Theory.- Mobile Computing.- Multiset Rewriting.- Proofs and Refutations.
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This Festschrift was published in honor of Joshua Guttman on the occasion of his 66.66 birthday. The impact of his work is reflected in the 23 contributions enclosed in this volume. Joshua's most influential and enduring contribution to the field has been the development of the strand space formalism for analyzing cryptographic protocols. It is one of several "symbolic approaches" to security protocol analysis in which the underlying details of cryptographic primitives are abstracted away, allowing a focus on potential flaws in the communication patterns between participants. His attention to the underlying logic of strand spaces has also allowed him to merge domain-specific reasoning about protocols with general purpose, first-order logical theories. The identification of clear principles in a domain paves the way to automated reasoning, and Joshua has been a leader in the development and distribution of several tools for security analysis.
(source: Nielsen Book Data)

• Structured Tensor Decompositions and Applications.- Matrix and Tensor Factorizations.- ICA Methods.- Nonlinear Mixtures.- Audio Data and Methods.- Signal Separation Evaluation Campaign.- Deep Learning and Data-driven Methods.- Advances in Phase Retrieval and Applications.- Sparsity-Related Methods.- Biomedical Data and Methods.
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This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018.The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 15th International Semantic Web Conference, ESWC 2018, held in Heraklion, Crete, Greece. The 48 revised full papers presented were carefully reviewed and selected from 179 submissions. The papers cover a large range of topics such as logical modelling and reasoning, natural language processing, databases and data storage and access, machine learning, distributed systems, information retrieval and data mining, social networks, and Web science and Web engineering. .
(source: Nielsen Book Data)

• Challenges in Critical Infrastructure Security / Corrado Leita
• Ontology-Driven Dynamic Discovery and Distributed Coordination of a Robot Swarm / Niels Bouten, Anna Hristoskova, Femke Ongenae, Jelle Nelis and Filip De Turck
• Cooperative Database Caching within Cloud Environments / Andrei Vancea, Guilherme Sperb Machado, Laurent d'Orazio and Burkhard Stiller
• A Fuzzy Reinforcement Learning Approach for Pre-Congestion Notification Based Admission Control / Stylianos Georgoulas, Klaus Moessner, Alexis Mansour, Menelaos Pissarides and Panagiotis Spapis
• Bridging the Gap: Towards an Adaptive Video Streaming Approach Supporting Transitions / Julius Rückert and David Hausheer
• A Multiaccess Enabled Load Balancing in Cognitive Networks / Teemu Rautio and Jukka Mäkelä
• Hardware Acceleration for Measurements in 100 Gb/s Networks / Viktor Puš
• A Study of the RPL Repair Process Using ContikiRPL / Kevin Dominik Korte, Anuj Sehgal and Jürgen Schönwälder
• Traffic Measurement and Analysis of Building Automation and Control Networks / Radek Krejčí, Pavel Čeleda and Jakub Dobrovolný.

• SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention / Tobias Jung, Sylvain Martin, Damien Ernst and Guy Leduc
• SSHCure: A Flow-Based SSH Intrusion Detection System / Laurens Hellemons, Luuk Hendriks, Rick Hofstede, Anna Sperotto and Ramin Sadre, et al.
• Instant Degradation of Anonymity in Low-Latency Anonymisation Systems / Thorsten Ries, Radu State and Thomas Engel
• Real-Time and Resilient Intrusion Detection: A Flow-Based Approach / Rick Hofstede and Aiko Pras
• Distributed Self-organized Collaboration of Autonomous IDS Sensors / Karel Bartos and Martin Rehak
• Network Anomaly Detection: Comparison and Real-Time Issues / Václav Bartoš and Martin Žádník
• Detecting Anomalies in Netflow Record Time Series by Using a Kernel Function / Cynthia Wagner and Thomas Engel
• How to Build an IT Spin-Off Company / Jiří Tobola
• Towards Bandwidth Estimation Using Flow-Level Measurements / Ricardo de O. Schmidt, Anna Sperotto, Ramin Sadre and Aiko Pras
• Flow-Based Identification of Failures Caused by IPv6 Transition Mechanisms / Vaibhav Bajpai, Nikolay Melnikov, Anuj Sehgal and Jürgen Schönwälder
• Large Scale DNS Analysis / Samuel Marchal and Thomas Engel
• Flow Information Storage Assessment Using IPFIXcol / Petr Velan and Radek Krejčí.

Annotation This book constitutes the refereed proceedings of the 6th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2012, held in Luxembourg in June 2012. The 10 full papers presented were carefully reviewed and selected from 23 submissions. They cover autonomic and distributed management, network security, network monitoring, and special environments and Internet of Things. In addition, this book contains 9 workshop papers which were selected from 18 submissions. They deal with high-speed networks and network management, intrusion detection, and network monitoring and security.

• Intro; Title; Preface; Organization; Table of Contents; Multimodal Signals: Analysis, Processing and Computational Issues; Real Time Person Tracking and Behavior Interpretation in Multi Camera Scenarios Applying Homography and Coupled HMMs; Introduction; Object Localization Using Homography; Planar Homographies; 3D Reconstruction of the Scene; Computational Optimization of the 3D Representation; Behavior Interpretation; Feature Extraction; Low Level Activity Detection; Scenario Recognition; Conclusion and Outlook; References; Animated Faces for Robotic Heads: Gaze and Beyond; Introduction

• Projected Animated Faces on 3D Head ModelsRobotic Heads with Animated Faces; Gaze Perception and the Mona Lisa Gaze Effect; Setup; Method; Analysis and Results; Estimating the Gaze Function; Spatial Faithfulness of Gaze and Situated Interaction; Applications and Discussions; Conclusions; References; RANSAC-Based Training Data Selection on Spectral Features for Emotion Recognition from Spontaneous Speech; Introduction; Previous Work; Contribution and Outline of the Paper; Background; The Spontaneous Speech Corpus; The RANSAC Algorithm; RANSAC-Based Data Cleaning Method

• Extraction of the Speech FeaturesEmotion Classification Using Hidden Markov Models; RANSAC-Based Training of HMM Classifiers; Decision Fusion for Classification of Emotions; Experimental Results; Conclusions and Future Work; References; Establishing Linguistic Conventions in Task-Oriented Primeval Dialogue; Introduction; Modelling Approach; Experiment Design; Results and Discussion; Conclusions and Future Work; References; Switching Between Different Ways to Think; Introduction; Background; Adopted Emotion Categorization Model; Building the Affective Common Sense Knowledge Base

• Switching Between Different Graph SeedsSwitching Between Different Dimensionalities; Switching Between Different Centroids; Switching Between Different Space Configurations; Discussion; Conclusion and Future Directions; References; Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition; Introduction; SPLICE Algorithm Overview; Environmental Model Selection; SNR Driven SPLICE Approach; SNR Estimation; Model Selection; Computer Simulations; SPLICE Setup; Comparison between Frequency and Mel Domain SNR Estimation; Results; SPLICE and Histogram Equalization

• Comparison with Different ApproachesConclusions; References; Study on Cross-Lingual Adaptation of a Czech LVCSR System towards Slovak; Introduction; Comparison of Czech and Slovak; Difference and Similarity in Lexicons; Difference and Similarity in Phonetics; Proposed Cross-Lingual Adaptation Approach; Speaker Independent Acoustic Modeling; Speaker Dependent Acoustic Modeling; Experimental Evaluation; Text and Language Resources; Evaluation of the First Adaptation Phase; Evaluation of the Second Adaptation Phase; Conclusion; References

Annotation This volume brings together the advanced research results obtained by the European COST Action 2102 'Cross Modal Analysis of Verbal and Nonverbal Communication', primarily discussed at the PINK SSPnet-COST2102 International Conference on Analysis of Verbal and Nonverbal Communication and Enactment.

• Capturing Rhetoric and Argumentation Aspects within Scientific Publications
• A Reference Model for Semantic Peer-to-Peer Networks
• Discovery of Probabilistic Mappings between Taxonomies: Principles and Experiments
• TwigTable: Using Semantics in XML Twig Pattern Query Processing, . Database Semantics Recovery through Analysis of Dynamic SQL
• Ontology Alignment Evaluation Initiative: Six Years of Experience. A Reference Model for Semantic Peer-to-Peer Networks
• Discovery of Probabilistic Mappings between Taxonomies: Principles and Experiments
• TwigTable: Using Semantics in XML Twig Pattern Query Processing, . Database Semantics Recovery through Analysis of Dynamic SQL
• Ontology Alignment Evaluation Initiative: Six Years of Experience.

The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence. Volume XV results from a rigorous selection among 25 full papers received in response to two calls for contributions issued in 2009 and 2010. In addition, this volume contains a special report on the Ontology Alignment Evaluation Initiative, an event that has been held once a year in the last five years and has attracted considerable attention from the ontology community. This is the last LNCS transactions volume of the Journal on Data Semantics; the next issue will appear as a regular Springer Journal, published quarterly starting from 2012.

• 1st Workshop on Optimizing Cloud Services (OCS 2010)
• International Workshop on Emergency Management Through Service-Oriented Architectures (EMSOA 2010)
• 1st International Workshop on Service Modelling and Representation Techniques (SMART 2010)
• From Event-Driven Business Process Management to Ubiquitous Complex Event Processing (EDBPM 2010).

This book constitutes the refereed proceedings of four workshops held in conjunction with the Third European Conference, ServiceWave 2010, held in Ghent, Belgium, in December 2010. The book includes 23 reviewed papers from four workshops that were selected from eight high-quality workshop session proposals. They represent diverse aspects of the theory and practice of service computing, ranging from service engineering to service infrastructures. The workshops are: First Workshop on Optimising Cloud Services (OCS 2010), International Workshop on Emergency Management through Service-Oriented Architectures (EMSOA 2010), First International Workshop on Service Modelling and Representation Techniques (SMART 2010), and From Event-Driven Business Process Management to Ubiquitous Complex Event Processing (EDBPM 2010).