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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Cover of 'Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Deblur Capsule Networks
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    Chapter 2 Graph Embedding of Almost Constant Large Graphs
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    Chapter 3 Feature Importance for Clustering
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    Chapter 4 Uncovering Manipulated Files Using Mathematical Natural Laws
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    Chapter 5 History Based Incremental Singular Value Decomposition for Background Initialization and Foreground Segmentation
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    Chapter 6 Vehicle Re-Identification Based on Unsupervised Domain Adaptation by Incremental Generation of Pseudo-Labels
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    Chapter 7 How to Turn Your Camera into a Perfect Pinhole Model
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    Chapter 8 Single Image HDR Synthesis with Histogram Learning
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    Chapter 9 But That’s Not Why: Inference Adjustment by Interactive Prototype Revision
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    Chapter 10 Teaching Practices Analysis Through Audio Signal Processing
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    Chapter 11 Time Distributed Multiview Representation for Speech Emotion Recognition
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    Chapter 12 Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification
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    Chapter 13 Abandoned Object Detection Using Persistent Homology
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    Chapter 14 Interactive Segmentation with Incremental Watershed Cuts
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    Chapter 15 Supervised Learning of Hierarchical Image Segmentation
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    Chapter 16 Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification
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    Chapter 17 Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy
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    Chapter 18 Leveraging Question Answering for Domain-Agnostic Information Extraction
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    Chapter 19 Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves
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    Chapter 20 A Self-Organizing Map Clustering Approach to Support Territorial Zoning
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    Chapter 21 Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions
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    Chapter 22 Deep Learning in the Identification of Psoriatic Skin Lesions
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    Chapter 23 WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild
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    Chapter 24 Depression Detection Using Deep Learning and Natural Language Processing Techniques: A Comparative Study
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    Chapter 25 Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
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    Chapter 26 Face Image Quality Estimation on Presentation Attack Detection
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    Chapter 27 Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease
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    Chapter 28 Analysis and Impact of Training Set Size in Cross-Subject Human Activity Recognition
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    Chapter 29 Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices
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    Chapter 30 Presumably Correct Undersampling
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    Chapter 31 Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography
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    Chapter 32 Self-supervised Monocular Depth Estimation on Unseen Synthetic Cameras
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    Chapter 33 Novelty Detection in Human-Machine Interaction Through a Multimodal Approach
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    Chapter 34 Filtering Safe Temporal Motifs in Dynamic Graphs for Dissemination Purposes
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    Chapter 35 Graph-Based Feature Learning from Image Markers
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    Chapter 36 Seabream Freshness Classification Using Vision Transformers
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    Chapter 37 Explaining Semantic Text Similarity in Knowledge Graphs
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    Chapter 38 Active Supervision: Human in the Loop
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    Chapter 39 Condition Invariance for Autonomous Driving by Adversarial Learning
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    Chapter 40 YOLOMM – You Only Look Once for Multi-modal Multi-tasking
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    Chapter 41 Classify NIR Iris Images Under Alcohol/Drugs/Sleepiness Conditions Using a Siamese Network
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    Chapter 42 Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks
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    Chapter 43 Towards Robust Defect Detection in Casting Using Contrastive Learning
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    Chapter 44 Development and Testing of an MRI-Compatible Immobilization Device for Head and Neck Imaging
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    Chapter 45 DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method
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    Chapter 46 IR-Guided Energy Optimization Framework for Depth Enhancement in Time of Flight Imaging
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    Chapter 47 Multi-conformation Aproach of ENM-NMA Dynamic-Based Descriptors for HIV Drug Resistance Prediction
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    Chapter 48 Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry
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    Chapter 49 Facial Point Graphs for Stroke Identification
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    Chapter 50 Fast, Memory-Efficient Spectral Clustering with Cosine Similarity
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    Chapter 51 An End-to-End Deep Learning Approach for Video Captioning Through Mobile Devices
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    Chapter 52 Stingless Bee Classification: A New Dataset and Baseline Results
Attention for Chapter 16: Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification
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