%{search_type} search results

• Retinal Image Analysis Approach for Diabetic Retinopathy Grading.- Mask R-CNN-based system for automated reindeer recognition and counting from aerial photographs.- Smart Tiling for Program Optimization and Parallelization.- Classification of Histology Images based on a Compact 3D Representation.- Authentication System Based on Biometric Data of Smiling Face from Stacked Autoencoder and Concatenated Reed-Solomon Codes.- Formalization of people and crowd detection and tracking for smart video surveillance.- Predicting events by analyzing the results of the work of predictive models.- Digest of Blockchain Technologies to Design System for Big Image Data Provenance and Security.- Generative Autoencoders for Designing Novel Small-Molecule Compounds As Potential Sars-COV-2 Main Protease Inhibitors.- Comparison of data preprocessing algorithms for nuclear segmentation in fluorescent immunohistology images of cancer cells.- A Bottom-up Method for Pose Detection of Multiple People on Real-Time Video.- Formalisation of Motion description in Microscopy Images.- Detection of features regions of Syndrome in Multiple Sclerosis on MRI.- Automatic tuning of the motion control system of a mobile robot along a trajectory based on the reinforcement learning method.- Simulation Modelling And Machine Learning Platforfm For Processing Fluorescence Spectroscopy Data.- Comparing the Performance of Classical and Deep Learning Methods on Small Image Datasets.- Investigation of the GAN-SSL Classifier Properties for Identification Expertise.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, held in Minsk, Belarus, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 17 revised full papers were carefully reviewed and selected from 90 submissions. The papers present a discussion on theoretical and applied aspects of computer vision, recognition of signals and images, the use of distributed resources, and high-performance systems.
(source: Nielsen Book Data)

• Reproduced Papers.org: Openly Teaching and Structuring Machine Learning Reproducibility
• Reproducibility: Evaluating the Evaluations
• torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation
• Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection
• Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analysis
• Tree Defect Segmentation Using Geometric Features and CNN
• Pith Estimation on Tree Log End Images
• Structure and Concept of the Benchmark for Vesselness Filters with Focus on Reproducibilty and Future Evaluations
• A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes
• On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
• Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
• Reproducing the Sparse Huffman Address Map Compression for Deep Nural Networks
• Implementation of Genetic Pseudo Rehearsal.

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions. The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.

• Application of Big Data and Machine Learning for Astrological Predictions.- A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI.- Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN.- Object Detection and Classification from a Real Time Video using SSD and YOLO Models.- A skin cancer image detection interface tool using VLF support vector machine classification.- Convolutional Neural Networks based Sentence Level Classification of Crime Documents.- An optimum fuzzy EOQ model for deteriorating items with shortages in a particular period.- Bangla Spoken numerals recognition by using HMM.
• (source: Nielsen Book Data)

This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 - 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
(source: Nielsen Book Data)

• Computer Vision and Image Processing.- Intelligent Systems for Medical Diagnosis.- Document Analysis and Understanding.- Artificial Intelligence and Intelligent Systems.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 5th Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2021, held in Istanbul, Turkey, in December 2021. Due to the COVID-19 pandemic, MedPRAI 2021 was held fully online. The 28 revised full papers and 4 short papers presented were thoroughly reviewed and selected from 72 submissions. The papers are covering the topics of recent advancements in different areas of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision, multimedia systems, information retrieval, etc.
(source: Nielsen Book Data)

• Performance Enhancement of Action Recognition System Using Inception V3 Model.- Synchronized Conceptual Representations in Unsupervised Generative Learning.- The Xoshiro+ Pseudorandom Number Generator in a Computer Chess Program.- IISCAN: Index-based Incremental Structural Clustering Technique for Billion-edge graphs.- Using A Data Mining Approach to Detect Automobile Insurance Fraud.- Arabic fricative consonants characterization according to places of articulation
• Stance Detection on Vietnamese Social Media.- Perception of Autonomous Vehicle for Localization Using Camera and GPS.- EMG-CapsNet: Elu Multiplication Gate Capsule Network for Complex Images Classification.
• (source: Nielsen Book Data)

This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
(source: Nielsen Book Data)

• Computer Vision and Image Processing.- Document and Media Analysis.- Artificial Intelligence and Intelligent Systems.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2020, held in Hammamet, Tunisia, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 revised papers presented were thoroughly reviewed and selected from 72 submissions. The papers are covering the topics of recent advancements in different areas of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision, multimedia systems, information retrieval, etc.
(source: Nielsen Book Data)

• Generalized Fuzzy Rough Sets Based on New Fuzzy Similarity Relation.- SV-NET: A Deep Learning Approach To Video Based Human Activity Recognition.- Machine Learning based Framework for Recognizing Traffic Signs on Road Surfaces.- Cursor Control Using Face Gestures.- A Smart Discussion Forum Website.- Certificate Management System Using Blockchain.- Reality Check in Virtual Space for Privacy Behavior of Indian Users of Social Networking Sites.- Application of artificial electric field algorithm for economic load dispatch problem.- Intelligent Data Compression Policy for Hadoop Performance Optimization.
• (source: Nielsen Book Data)

This book highlights recent research on soft computing, pattern recognition and biologically inspired computing. It presents 24 selected papers from the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) and 5 papers from the 11th World Congress on Nature and Biologically Inspired Computing (NaBIC 2019), held at Vardhaman College of Engineering, Hyderabad, India, on December 13-15, 2019. SoCPaR-NaBIC is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and bio-inspired computing, as well as their industrial and real-world applications. Including contributions by authors from 15 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
(source: Nielsen Book Data)

This book highlights the recent research on soft computing and pattern recognition and their various practical applications. It presents 62 selected papers from the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) and 35 papers from the 16th International Conference on Information Assurance and Security (IAS 2020), which was held online, from December 15 to 18, 2020. A premier conference in the field of artificial intelligence, SoCPaR-IAS 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

• Artificial Intelligence, Data Mining and Applications.- Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.- A Machine Learning Based Approach for Estimation of the Lung Affectation Degree in CXR images of COVID-19 patients.- Deep Neural Network to detect gender violence on Mexican tweets.- Consumer Price Index forecasting based on univariate time series and a deep neural network.- Application of a Generalized Regression Neural Network to the estimation of average gait speed.-Gait speed estimation based on artificial neural network: Comparison with the application of the inverted pendulum model.- Scalable Generalized Multitarget Linear Regression with Output Dependence Estimation.- Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in text classification.- A novel approach for detection and location of cyber-attacks in water distributions networks.- Identification of non-linear chemical systems with neural networks.- Convolutional neural networks as support tools for spinocerebellar ataxia detection from magnetic resonances.- A Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection.- Peripheral nerve segmentation in ultrasoundimages using conditioned U-Net.- Assessing the relationship between binarization and OCR in the context of deep learning-based ID document analysis.- Pattern Recognition and Applications.- Pattern Recognitions Strategies to Classify Traced Neurons.- Evaluation of Hepatic Fibrosis Stages Using the Logical Combinatorial Approach.- A proposal of condition monitoring with missing data and small-magnitude faults in industrial plants.- A proposal of metric for improving remaining useful life prediction in industrial systems.- A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer.- A robust fault diagnosis strategy in mechanical systems using pythagorean fuzzy sets.- Prediction of Diabetes Mortality in Mexico City applying Data Science.- Balancing of Samples in Class Hierarchy.- Feature Selection with Class Hierarchy for Imbalance Problems.- SVM based EVM for Open Space Problems.-Data drive fuzzy cognitive map for classification problems.- Extracting composite summaries from qualitative data.- A novel initial population construction heuristic for the DINOS subgroup discovery algorithm.- A Survey on the Methods to Determine the Sensitivity of Textual Documents: Solutions and Problems to Solve.- Automatic Classification of Diabetic Foot Ulcers using Computer Vision Techniques.- Biometrics, Image, and Video Analysis.- Image segmentation applied to line separation and determination of GPN2 protein overexpression for its detection in polyacrylamide gels.- Underwater Image Enhancement using Adaptive Algorithms.- Improving the robustness of DCT-based handwritten document image watermarking against JPEG-compression.- Automated System for the Detection of Lung Nodules.- Video and image complexity in Human Action Recognition.- A WIDE 2D MEDIAN FILTER FOR GPU DEVICES.- Medical Image Watermarking with Separable Moments.- Signals Analysis and Processing.- Intra-day population fluxes from mobile phone data in Havana, Cuba.- Semantic Segmentation of Radio-astronomical Images.- Content-based Image Retrieval For Surface Defects Of Hot Rolled Steel Strip Using Wavelet-Based LBP.- Decision rules for radar detection in the moments space with arbitrary correlation degree and constant false alarm rate.- Interpretable diagnosis of ADHD based on wavelet features and logistic regression.- Evaluation of GOI Detectors in EGG Signals Assuming Dfferent Models for the Pulse Length Variability.-.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, held in Havana, Cuba, in October 2021. The 42 full papers presented were carefully reviewed and selected from 73 submissions. The papers promote and disseminate ongoing research on mathematical methods and computing techniques for artificial intelligence and pattern recognition, in particular in bioinformatics, cognitive and humanoid vision, computer vision, image analysis and intelligent data analysis.
(source: Nielsen Book Data)

• Handwriting and Text Processing.- Gender Detection from Arabic Handwritten Documents Using the Concept of Transfer-Learning.- Split and Merge: Component Based Segmentation Network for Text Detection.- Gate-Fusion Transformer for Multimodal Sentiment Analysis.- Overview of Mathematical Expression Recognition.- Handwritten Mathematical Expression Recognition: A Survey.- Commodity Classification Based on Multi-Modal Jointly Using Image and Text Information.- A New DCT-FFT Fusion based Method for Caption and Scene Text Classification in Action Video Images.- A New Method For Detecting Altered Text in Document Images.- Hand-drawn Object Detection For Scoring Wartegg Zeichen Test.- Application of Deep Learning for Online Handwritten Mathematical Expression Recognition: A Review.- Comparison of Persian Handwritten Digit Recognition in Three Color Modalities Using.- Deep Neural Networks.- Application of Deep Learning in Handwritten Mathematical Expressions Recognition.- Automating Stress Detection using Handwriting.- Recognition of Cursive Caption Text using Deep Learning - A Comparative Study on Recognition Units.- Features and Classifiers.- A Hybrid Multiple Classifier System Applied in Life Insurance Underwriting.- Generative Adversarial-Synergetic Networks for Anomaly Detection.- Multi-Features Integration for Speech Emotion Recognition.- Analysis of Multi-Class Classification of EEG signals using Deep Learning on MUSE Dataset.- A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background.- A New Credit Scoring Model Based on Prediction of Signal on Graph.- Characterizing the impact of using features extracted from pre-trained models on the quality of video captioning sequence-to-sequence models.- Prediction of Subsequent Memory Effects using Convolutional Neural Network.- Secure Data Transmission of Smart Home Sensor Networks Based on Information Hiding.- Differences and Similarities learning for Unsupervised Feature Selection.- Manifold-based classifier ensembles.- PD-DARTS: Progressive Discretization Differentiable Architecture Search.- Transformed Network Based on Task-driven.- A Blockchain-based Online Game Design Architecture for Performance Issues.- Predicting US Elections with Social Media and Neural Networks.- Deep Learning.- From Pixels to Random Walk Based Segments for Image Time Series Deep Classification.- Handwriting and Hand-Sketched Graphics Detection Using Convolutional Neural Networks.- Deep Active Learning With Simulated Rationales for Text Classification.- License plate Detection and Recognition by Convolutional Neural Networks.- Incorporating Human Views into Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval.- Overview: Research Progress on Pest and Disease Identification.- Advanced Data Preprocessing for Detecting Cybercrime in Text-based Online Interactions.- A Real-time License-Plate Detection Method using Deep Learning Approaches.- Computer Vision and Image Processing.- Facial Beauty Prediction Using Transfer Learning and Multi-Task Learning Techniques.- CycleGAN-based Image Translation for Near-infrared Camera-trap Image Recognition.- Object Detection Based on Sparse Representation of Foreground.- An Application and Integration of Machine Learning Approach on a Real IoT Agricultural Scenario.- Spatio-temporal stability analysis in Satellite Image Times Series.- Overview of Crowd Counting.- Rotation-invariant Face Detection with Multi-Task Progressive Calibration Networks.- Enlacement and Interlacement Shape Descriptors.- Image orientation detection using convolutional neural network.- Multi-Layer Cross-Domain Non-Negative Matrix Factorization for Cross-Scene Dimension Reduction on Hyperspectral images.- A Comprehensive, Unconstrained, License Plate Database.- An extended evaluation of the impact of different modules in ST-VQA systems.- Computer-aided Wartegg Drawing Completion Test.- Medical Imaging and Applications.- A Novel ECG Signal Classification Algorithm Based on Common and Specific Components Separation.- Sit-To-Stand test for neurodegenerative diseases video classification.- A two stage method for abnormality diagnosis of musculoskeletal radiographs.- Clinical Decision Support Systems for Predicting Patients Liable to Acquire Acute Myocardial Infarctions.- A Novel Deep Learning Approach for Liver MRI Classification and HCC Detection.- An Integrated Deep Approach for Lesion Detection in Breast MRI.- Single image super-resolution for medical image applications.- Forensic Studies and Medical Diagnosis.- A Blob Detector Images-Based Method for Counterfeit Coin Detection by Fuzzy Association Rules Mining.- Interpreting Deep Glucose Predictive Models for Diabetic People Using the RETAIN Architecture.- Abusive Language Detection using BERT Pre-trained Embedding.- Classification of criminal news over time using Bidirectional LSTM.- End-to-end generative adversarial network for hand-vein recognition.- A Survey on Peripheral Blood Smear Analysis Using Deep Learning.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020, which took place in Zhongshan, China, in October 2020. The 49 full and 14 short papers presented were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: handwriting and text processing; features and classifiers; deep learning; computer vision and image processing; medical imaging and applications; and forensic studies and medical diagnosis. .
(source: Nielsen Book Data)

• Room-Level Indoor Localization with Artificial Neural Networks
• A Simple Authentication Method with Multilayer Feedforward Neural Network Using Keystroke Dynamics
• A Comparative Study of ANN Tuning Methods for Multiclass Daily Activity and Fall Recognition
• Exploring Model Transfer Potential for Airborne LiDAR Point Cloud Classification
• Haralick Feature Guided Network for the Improvement of Generalization in Landcover Classification
• Determining Location and Detecting Changes Using a Single Training Video
• Improving Deep Learning Parkinson's Disease Detection Through Data Augmentation Training
• Human Action Recognition Using Stereo Trajectories
• Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes under Variable Speed
• Bayesian Convolutional Neural Network: Robustly Quantify Uncertainty for Misclassifications Detection
• Particle Filter for Trajectories of Movers from Laser Scanned Dataset
• Video Steganography using 3D Convolutional Neural Networks
• DeepRank: Adapting Neural Tensor Networks for Ranking the Recommendations
• An Intelligent Context Aware Recommender System For Real-Estate
• Integration of fuzzy clustering into the Case Base Reasoning for the prediction of response to immunotherapy treatment
• Music Generation using an Interactive Evolutionary Algorithm.

This book constitutes the refereed proceedings of the Third Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2019, held in Istanbul, Turkey, in December 2019. The 18 revised full papers and one short paper presented were carefully selected from 54 submissions. The papers are covering the topics of recent advancements in different areas of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision, multimedia systems, information retrieval, etc. -- Provided by publisher.

• Intro; Foreword; Preface; Message from the Honorary General Chair; Organization; Abstracts of Invited Talks; Granular Artificial Intelligence: A New Avenue of Artificial Intelligence for Modeling Environment and Pattern Recognition; Imparting Sentiment and Politeness on Computers; Beyond Text Detection and Recognition: Emerging Opportunities in Scene Understanding; Cognitive Analysis Using Physiological Sensing; The Rise of Hate Content in Social Media; How to Escape Saddle Points Efficiently?; Machine Learning and Its Application in Remote Sensing Data Classification Applications

• Brief History of Topic ModelsIntroduction to Compressed Sensing; Novel Support Vector Machine Algorithms for the Diagnosis of Alzheimer's Disease; Contents
• Part I; Contents
• Part II; Pattern Recognition; Identity Independent Face Anti-spoofing Based on Random Scan Patterns; 1 Introduction; 2 Proposed Paradigm and Architecture; 2.1 Random Scan Algorithm; 2.2 Final Differential Statistic; 3 Feature Validation and Training the One-Class SVM; 4 Experimental Results; 4.1 Auto-Population Results and Comparisons; 5 Conclusions; References

• Automatic Attribute Profiles for Spectral-Spatial Classification of Hyperspectral Images1 Introduction; 2 Basics of Attribute Profiles; 3 Proposed Method; 4 Experimental Results; 5 Conclusion; References; Enhanced Depression Detection from Facial Cues Using Univariate Feature Selection Techniques; 1 Introduction; 2 Related Work; 3 Combination of Univariate Feature Selection and the Learning Algorithms; 4 Experiments and Results; 5 Conclusion; References; Trustworthy Cloud Federation Through Cooperative Game Using QoS Assessment; Abstract; 1 Introduction; 2 Literature Survey

• 3 Cooperative Game Theory Model3.1 Motivation for Game Theoretic Solution; 3.2 Trustworthy Characteristics; 4 Proof of Game Theory; 5 Implementation and Results; 6 Conclusion; References; Incremental k-Means Method; 1 Introduction; 2 Related Work; 3 Preliminaries; 4 Our Proposed IncrementalKMN Method; 4.1 The IncrementalKMN Method; 5 Experimental Analysis; 6 Conclusion; References; Modified FP-Growth: An Efficient Frequent Pattern Mining Approach from FP-Tree; 1 Introduction; 2 Related Work; 3 Proposed Method: Modified FP-growth; 4 Performance Analysis; 5 Conclusion; References

• Link Weight Prediction for Directed WSN Using Features from Network and Its Dual1 Introduction; 2 Problem Statement; 3 Related Literature; 4 Proposed Approach; 4.1 Directed Line Graph; 4.2 Fairness Goodness Measures; 4.3 Feature Extraction; 5 Experiments and Results; 5.1 Datasets; 5.2 Graph Preprocessing; 5.3 Evaluation; 5.4 Regression Model; 5.5 Results and Analysis; 6 Conclusion; References; An Ensemble Learning Based Author Identification System; 1 Introduction; 2 Related Works; 3 Proposed Methodology; 3.1 Dataset; 3.2 Pre-processing; 3.3 Feature; 3.4 Ensemble Learning Model

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.

• Intro; Foreword; Preface; Message from the Honorary General Chair; Organization; Abstracts of Invited Talks; Granular Artificial Intelligence: A New Avenue of Artificial Intelligence for Modeling Environment and Pattern Recognition; Imparting Sentiment and Politeness on Computers; Beyond Text Detection and Recognition: Emerging Opportunities in Scene Understanding; Cognitive Analysis Using Physiological Sensing; The Rise of Hate Content in Social Media; How to Escape Saddle Points Efficiently?; Machine Learning and Its Application in Remote Sensing Data Classification Applications

• Brief History of Topic ModelsIntroduction to Compressed Sensing; Novel Support Vector Machine Algorithms for the Diagnosis of Alzheimer's Disease; Contents
• Part II; Contents
• Part I; Medical Image Processing; On the Study of Childhood Medulloblastoma Auto Cell Segmentation from Histopathological Tissue Samples; Abstract; 1 Introduction; 2 Background; 3 Methods and Materials; 3.1 Study Region; 3.2 Data Collection; 3.3 Ethical Statement; 3.4 Inclusion/Exclusion Criteria; 3.5 Overview of the Work; 4 Results; 5 Discussions; Acknowledgment; References

• Automated Counting of Platelets and White Blood Cells from Blood Smear ImagesAbstract; 1 Introduction; 2 Literature Review; 3 Objective; 4 Methodology; 5 Results; 6 Discussion; 7 Conclusion; References; An Efficient Method for Automatic Recognition of Virus Particles in TEM Images; 1 Introduction; 2 Proposed Algorithm; 3 Performance Analysis; 3.1 Algorithms Compared; 3.2 Description of Data Set; 3.3 Optimum Values of Different Parameters; 3.4 Comparison with Existing Approaches; 4 Conclusion; References; Detection of Necrosis in Mice Liver Tissue Using Deep Convolutional Neural Network

• 1 Introduction2 Related Works; 3 Pre-processing; 3.1 RGB to Grayscale Conversion; 3.2 Dataset Normalisation; 3.3 Contrast-Limited Adaptive Histogram Equalization (CLAHE); 3.4 Gamma Correction; 4 Proposed Methodology; 4.1 Preparation of Test; 4.2 Model; 5 Training; 6 Result; 7 Conclusion; References; Bayesian Deep Learning for Deformable Medical Image Registration; 1 Introduction; 2 Proposed Architecture; 2.1 Training/Test; 3 Experiments and Results; 3.1 Results on Lung CT Dataset; 3.2 Results on Cardiac Dataset; 4 Conclusion; References

• Design and Analysis of an Isotropic Wavelet Features-Based Classification Algorithm for Adenocarcinoma and Squamous Cell Carcinoma of Lung Histological ImagesAbstract; 1 Introduction; 2 Methods and Materials; 2.1 Data Set; 2.2 Colour Space Transform and Normalization; 2.3 Wavelet Coefficients Modelling and Similarity Measurement; 2.4 Wavelet Coefficients Modelling and Similarity Measurement; 3 Results and Discussion; 3.1 Goodness of Fit; 3.2 Similarity Measurement of Empirical Distributions of Various Classes; 3.3 Classification Results; 4 Conclusion; References

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.

• Artificial Intelligence Techniques and Recognition.- A Straightforward Framework For Video Retrieval Using CLIP.- Inferential Rules for Identifying Answers in TOEFL Texts.- Automatic Detection of Injection Attacks by Machine Learning in NoSQL Databases.- Automatic Recognition of Learning-Centered Emotions.- Pattern Recognition Techniques.- Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles.- A Comparative Study of Two Algorithms for Computing the Shortest Reducts: MiLIT and MinReduct.- Extremal Topologies for the Merrifield-Simmons Index on Dynamic Trees.- Experimental Comparison of Oversampling Methods for Mixed Datasets.- Shortening the Candidate List for Similarity Searching using Inverted Index.- Neural Networks and Deep Learning.- Neuroevolution for Sentiment Analysis in Tweets Written in Mexican Spanish.- Neovascularization Detection on Optic Disc Region using Deep Learning.- Metric Localisation for the NAO Robot.- Multi-Source Transfer Learning for Deep Reinforcement Learning.- Efficient Training of Deep Learning Models through Improved Adaptive Sampling.- Graph Representation for Learning the Traveling Salesman Problem.- Satellite Imagery Classification using Shallow and Deep Learning Approaches.- Skeletal Age Estimation from Hand Radiographs using Ensemble Deep Learning.- Computer Vision.- Quantifying Visual Similarity for Artistic Styles.- Automatic Classification of Zingiberales from RGB Images.- Classification of Rail Welding Defects based on the Bag of Visual Words Approach.- Fast Background Subtraction and Graph Cut for Thermal Pedestrian Detection.- Image Processing and Analysis.- Development of a Method for Identifying People by Processing Digital Images from Handprint.- Finding the Optimum Bit-quad Patterns for Computing the Euler Number of 2D Binary Images using Simulated Annealing.- Perceptual and Pixel-Wise Information for Visual Novelty Detection.- Multi-core Median Redescending M-Estimator for Impulsive Denoising in Color Images.- A Comparative Study of 3D Plant Modeling Systems based on Low-cost 2D LiDAR and Kinect.- Evaluation of Denoising Algorithms for Source Camera Linking.- Texture based Supervised Learning for Crater-like Structures Recognition using ALOS / PALSAR Images.- Medical Applications of Pattern Recognition.- A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization.- COVID-19 Related Pneumonia Detection in Lung Ultrasound.- Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis using Random Forest.- Lung-nodule Segmentation using a Convolutional Neural Network with the U-Net Architecture.- Multi-target Attachment for Surgical Instrument Tracking.- W-net: a Convolutional Neural Network for Retinal Vessel Segmentation.- Novel Features for Glaucoma Detection in Fundus Images.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 13th Mexican Conference on Pattern Recognition, MCPR 2021, which was planned to be held in Mexico City, Mexico, in June 2021. The conference was instead held virtually. The 35 papers presented in this volume were carefully reviewed and selected from 75 submissions. They are organized in the following topical sections: artificial intelligence techniques and recognition; pattern recognition techniques; neural networks and deep learning; computer vision; image processing and analysis; and medical applications of pattern recognition.
(source: Nielsen Book Data)

• Normalizing Flow, Semantics, Physics, Camera Calibration.- Characterizing The Role of A Single Coupling Layer in Affine Normalizing Flows.- Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations.- Bias Detection and Prediction of Mapping Errors in Camera Calibration.- Learning to Identify Physical Parameters from Video Using Differentiable Physics.- Computer Vision, Pattern Recognition, Machine Learning.- Assignment Flow For Order-Constrained OCT Segmentation.- Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling.- Long-Tailed Recognition Using Class-Balanced Experts.- Analyzing the Dependency of ConvNets on Spatial Information.- Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels.- Observer Dependent Lossy Image Compression.- Adversarial Synthesis of Human Pose from Text.- Long-Term Anticipation of Activities with Cycle Consistency.- Multi-Stage Fusion for One-click Segmentation.- Neural Architecture Performance Prediction Using Graph Neural Networks.- Discovering Latent Classes for Semi-Supervised Semantic Segmentation.- Riemannian SOS-Polynomial Normalizing Flows.- Automated water segmentation and river level detection on camera images using transfer learning.- Does SGD Implicitly Optimize for Smoothness.- Looking outside the box: The role of context in Random Forest based semantic segmentation of PolSAR images.- Haar Wavelet based Block Autoregressive Flows for Trajectories.- Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding.- Constellation Codebooks for Reliable Vehicle Localization.- Towards Bounding-Box Free Panoptic Segmentation.- Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks.- Unsupervised Part Discovery by Unsupervised Disentanglement.- On the Lifted Multicut Polytope for Trees.- Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.- Image Inpainting with Learnable Feature Imputation.- 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving.- Inline Double Layer Depth Estimation with Transparent Materials.- A Differentiable Convolutional Distance Transform Layer for Improved Image Segmentation.- PET-guided Attention Network for Segmentation of Lung Tumors from PET/CT images.- Self-supervised Disentanglement of Modality-specific and Shared Factors Improves Multimodal Generative Models.- Multimodal semantic forecasting based on conditional generation of future features.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 42nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tubingen, Germany, but had to change to an online format due to the COVID-19 pandemic.The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning.
(source: Nielsen Book Data)

• Object Detection, Tracking and Recognition
• High-performance Discriminative Tracking with Target-aware Feature Embeddings.-3D Multi-Object Detection and Tracking with Sparse Stationary LiDAR
• CRNet: Centroid Radiation Network for Temporal Action Localization
• Weakly Supervised Temporal Action Localization with Segment-Level Labels
• Locality-constrained collaborative representation with multi-resolution dictionary for face recognition
• Fast and Fusion: Real-time Pedestrian Detector Boosted by Body-head Fusion
• STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-Expression Recognition
• Attentive Contrast Learning Network for Fine-grained Classification
• Relation-Based Knowledge Distillation for Anomaly Detection
• High Power-efficient and Performance-density FPGA Accelerator for CNN-based Object Detection
• Relation-Guided Actor Attention for Group Activity Recognition
• MVAD-Net: Learning View-Aware and Domain-Invariant Representation for Baggage Re-Identification
• Joint Attention Mechanism for Unsupervised Video Object Segmentation.-Foreground Feature Selection and Alignment for Adaptive Object Detection
• Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification.-Deep Mixture of Adversarial Autoencoders Clustering Network
• SA-InterNet: Scale-aware Interaction Network for Joint Crowd Counting and Localization
• Conditioners for Adaptive Regression Tracking
• Attention Template Update Model for Siamese Tracker
• Insight on Attention Modules for Skeleton-Based Action Recognition
• AO-AutoTrack: Anti-Occlusion Real-Time UAV Tracking Based on Spatio-temporal Context
• Two-stage Recognition Algorithm for Untrimmed Converter Steelmaking Flame Video
• Scale-aware Multi-branch Decoder for Salient Object Detection
• Dense End Face Detection Network for Counting Bundled Steel Bars Based on Densely End Face Detection Network for Counting Bundled Steel Bars Based on YoloV5
• POT: A Dataset of Panoramic Object Tracking
• DP-YOLOv5:Computer Vision-Based Risk Behavior Detection in Power Grids.-Distillation-based Multi-Exit Fully Convolutional Network for Visual Tracking.-Handwriting Trajectory Reconstruction using Spatial-Temporal Encoder-Decoder Network
• Scene Semantic Guidance for Object Detection
• Training Person Re-Identification Networks with Transferred Images
• ACFIM: Adaptively Cyclic Feature Information- interaction model for Object Detection
• Research of robust video object tracking algorithm based on Jetson Nano embedded platform
• Classification-IoU Joint Label Assignment For End-to-End Object Detection
• Joint Learning Appearance and Motion Models for Visual Tracking
• ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow
• Local Mutual Metric Network for Few-Shot Image Classification
• SimplePose V2: Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
• Control Variates for Similarity Search
• Pyramid Self-Attention for Semantic Segmentation
• Re-identify Deformable Targets for Visual Tracking
• End-to-End Detection and Recognition of Arithmetic Expressions
• FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization
• Appearance-Motion Fusion Network for Video Anomaly Detection
• Can DNN Detectors Compete against Human Vision in Object Detection Task?
• Group Re-Identification Based on single feature attention learning network(SFALN)
• Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking
• Group-Aware Disentangle Learning for Head Pose Estimation
• Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry
• Multi-Criteria Confidence Evaluation for Robust Visual Tracking.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

• Low-level Vision and Image Processing
• SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification
• Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining
• Semantic-Driven Context Aggregation Network for Underwater Image Enhancement
• A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection
• Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area
• 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement
• Single Image Specular Highlight Removal on Natural Scenes
• Document image binarization using visibility detection and point cloud segmentation
• LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution
• Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure
• Scale-aware Distillation Network for Lightweight Image Super-Resolution
• Deep Multi-Illumination Fusion for Low-Light Image Enhancement
• Relational Attention with Textual Enhanced Transformer For Image Captioning
• Non-local Network Routing for Perceptual Image Super-Resolution
• Multi-Focus Image Fusion with Cooperative Image Multiscale Decomposition
• An Enhanced Multi-Frequency Learned Image Compression Method
• Noise Map Guided Inpainting Network for Low-Light Image Enhancement
• FIE-GAN: Illumination Enhancement Network for Face Recognition
• Illumination-Aware Image Quality Assessment for Enhanced Low-light Image
• Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-resolution
• Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion
• ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network
• Image Outpainting with Depth Assistance
• Light-weight Multi-channel Aggregation Network for Image Super-resolution
• Slow Video Detection Based on Spatial-temporal Feature Representation
• Biomedical Image Processing and Analysis
• The NL-SC Net for Skin Lesion Segmentation
• Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement
• Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images
• A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks
• Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module
• Attention-based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data
• Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Feature
• Interactive Attention Sampling Network for Clinical Skin Disease Image Classification
• Cross-Model Attention Method for Medical Image Enhancement
• Multi-modal Face Anti-Spoofing based on a Single Image
• Non-Significant information Enhancement based Attention Network for Face Anti-Spoofing
• Early Diagnosis of Alzheimer's Disease Using 3D Residual Attention Network Based on Hippocampal Multi-indices Feature Fusion
• HPCReg-Net: Unsupervised U-Net Integrating Dilated Convolution and Residual Attention for Hippocampus Registration
• Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis
• Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction
• Model-based gait recognition using graph network with pose sequences
• Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic
• Deep-based Super-angular Resolution for Diffusion Imaging
• A Multiple Scale Encoders Network for Stroke Lesion Segmentation
• Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection
• Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
• DPACN:Dual Prior-guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence
• Face Anti-Spoofing Based on Cooperative Pose Analysis
• A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment
• Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID
• Intracranial Hematoma Classification Based on the Pyramid Hierarchical Bilinear Pooling
• Multi-Branch Multi-Task 3D-CNN for Alzheimer's Disease Detection.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

• Machine Learning, Neural Network and Deep Learning
• Edge-Wise One-Level Global Pruning on NAS generated networks
• Convolution Tells Where to Look
• Robust Single-step Adversarial Training with Regularizer
• Texture-guided U-Net for OCT-to-OCTA Generation
• Learning Key Actors and Their Interactions for Group Activity Recognition
• Attributed Non-negative Matrix Multi-Factorization for Data Representation
• Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels
• A Residual Correction Approach for Semi-supervised Semantic Segmentation
• Hypergraph Convolutional Network with Hybrid Higher-order Neighbors
• Text-Aware Single Image Specular Highlight Removal
• Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model
• A Competition of Shape and Texture Bias by Multi-View Image Representation
• Learning Indistinguishable and Transferable Adversarial Examples
• Efficient Object Detection and Classification of Ground Objects from Thermal Infrared Remote Sensing Image Based on Deep Learning
• MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search
• Adversarial Decoupling for Weakly Supervised Semantic Segmentation
• Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark
• Efficient and real-time particle detection via encoder-decoder network
• Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning
• Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency
• Improving Adversarial Robustness of Detectors via Objectness Regularization
• IPE Transformer for Depth Completion with Input-Aware Positional Embeddings
• Enhanced Multi-view Matrix Factorization with Shared Representation
• Multi-level Residual Attention Network for Speckle Suppression
• Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation
• MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation
• Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation
• Distance-based Class Activation Map for Metric Learning
• Reading Pointer Meter through One Stage End-to-End Deep Regression
• Deep Architecture Compression with Automatic Clustering of Similar Neurons
• Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection
• Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network
• Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement
• Dynamic Runtime Feature Map Pruning
• Special Session: New Advances in Visual Perception and Understanding
• Multi-Branch Graph Network for Learning Human-Object Interaction
• FDEA: Face Dataset with Ethnicity Attribute
• TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing
• Feature Matching Network for Weakly-Supervised Temporal Action Localization
• LiDAR-based symmetrical guidance for 3D Object Detection
• Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement
• Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring
• Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring
• CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
• An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training
• Invertible Image Compressive Sensing
• Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

• Classification and data processing.- Deep learning.- Graph-theoretic methods.- Multimedia analysis and understanding.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021. The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
(source: Nielsen Book Data)