Pattern Recognition and Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 PE-former: Pose Estimation Transformer
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   Chapter 2 ConDense: Multiple Additional Dense Layers with Fine-Grained Fully-Connected Layer Optimisation for Fingerprint Recognition
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   Chapter 3 A Sensor-Independent Multimodal Fusion Scheme for Human Activity Recognition
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   Chapter 4 Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model
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   Chapter 5 Application of A $$^*$$ ∗ to the Generalized Constrained Longest Common Subsequence Problem with Many Pattern Strings
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   Chapter 6 Robot Path Planning Method Based on Improved Grey Wolf Optimizer
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   Chapter 7 Space-Time Memory Networks for Multi-person Skeleton Body Part Detection
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   Chapter 8 Lip-Based Identification Using YOLOR
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    Chapter 9 Parallel $$\mathcal{O}(log(n))$$ O ( l o g ( n ) ) Computation of the Adjacency of Connected Components
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    Chapter 10 Encoding Sensors’ Data into Images to Improve the Activity Recognition in Post Stroke Rehabilitation Assessment
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    Chapter 11 Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics
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    Chapter 12 Hierarchical Approach for the Classification of Multi-class Skin Lesions Based on Deep Convolutional Neural Networks
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    Chapter 13 The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
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    Chapter 14 Robust Detection of Conversational Groups Using a Voting Scheme and a Memory Process
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    Chapter 15 Fusing AutoML Models: A Case Study in Medical Image Classification
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    Chapter 16 Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow
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    Chapter 17 Towards Automated Monitoring of Parkinson’s Disease Following Drug Treatment
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    Chapter 18 A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification
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    Chapter 19 TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy
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    Chapter 20 Shop Signboards Detection Using the ShoS Dataset
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    Chapter 21 One-Shot Decoupled Face Reenactment with Vision Transformer
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    Chapter 22 ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
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    Chapter 23 Deep Reinforcement Learning for Autonomous Navigation in Robotic Wheelchairs
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    Chapter 24 Understanding Individual Neurons of ResNet Through Improved Compositional Formulas
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    Chapter 25 Visual Transformer-Based Models: A Survey
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    Chapter 26 Stochastic Pairing for Contrastive Anomaly Detection on Time Series
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    Chapter 27 Visual Radial Basis Q-Network
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    Chapter 28 GANs Based Conditional Aerial Images Generation for Imbalanced Learning
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    Chapter 29 Augment Small Training Sets Using Matching-Graphs
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    Chapter 30 Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data
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    Chapter 31 Malware Detection Using Pseudo Semi-Supervised Learning
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    Chapter 32 Temporal Disaggregation of the Cumulative Grass Growth
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    Chapter 33 Extraction of Entities in Health Domain Documents Using Recurrent Neural Networks
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    Chapter 34 An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs
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    Chapter 35 Explaining Image Classifications with Near Misses, Near Hits and Prototypes
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    Chapter 36 Adaptive Threshold for Anomaly Detection in ATM Radar Data Streams
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    Chapter 37 Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet
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    Chapter 38 Improving Drift Detection by Monitoring Shapley Loss Values
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    Chapter 39 Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification
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    Chapter 40 DRN: Detection and Removal of Noisy Instances with Self Organizing Map
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    Chapter 41 Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring
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    Chapter 42 A Deep Learning Approach to Detect Ventilatory Over-Assistance