Pattern Recognition and Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Identifying, Evaluating, and Addressing Nondeterminism in Mask R-CNNs
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   Chapter 2 Structure-Aware Photorealistic Style Transfer Using Ghost Bottlenecks
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   Chapter 3 Analysing the Impact of Vibrations on Smart Wheelchair Systems and Users
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   Chapter 5 QAP Optimisation with Reinforcement Learning for Faster Graph Matching in Sequential Semantic Image Analysis
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   Chapter 6 Towards a Unified Benchmark for Monocular Radial Distortion Correction and the Importance of Testing on Real-World Data
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   Chapter 7 Comparing Artificial Intelligence Algorithms in Computer Vision: The Weapon Detection Benchmark
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   Chapter 8 Metrics for Saliency Map Evaluation of Deep Learning Explanation Methods
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   Chapter 9 Image Classification via Multi-branch Position Attention Network
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    Chapter 10 UGQE: Uncertainty Guided Query Expansion
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    Chapter 11 Controlling the Quality of GAN-Based Generated Images for Predictions Tasks
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    Chapter 12 A Framework for Registration of Multi-modal Spatial Transcriptomics Data
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    Chapter 14 Deep Learning for Fast Segmentation of E-waste Devices’ Inner Parts in a Recycling Scenario
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    Chapter 15 Improving Semantic Segmentation with Graph-Based Structural Knowledge
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    Chapter 16 Application of Rail Segmentation in the Monitoring of Autonomous Train’s Frontal Environment
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    Chapter 17 DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet
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    Chapter 18 Dealing with Incomplete Land-Cover Database Annotations Applied to Satellite Image Time Series Semantic Segmentation
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    Chapter 19 On the Feasibility and Generality of Patch-Based Adversarial Attacks on Semantic Segmentation Problems
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    Chapter 20 Unsupervised Cell Segmentation in Fluorescence Microscopy Images via Self-supervised Learning
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    Chapter 21 Hypercomplex Generative Adversarial Networks for Lightweight Semantic Labeling
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    Chapter 22 Learning Document Graphs with Attention for Image Manipulation Detection
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    Chapter 23 Modular StoryGAN with Background and Theme Awareness for Story Visualization
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    Chapter 24 Is On-Line Handwriting Gender-Sensitive? What Tells us a Combination of Statistical and Machine Learning Approaches
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    Chapter 25 Using Convolutional Neural Network to Handle Word Shape Similarities in Handwritten Cursive Arabic Scripts of Pashto Language
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    Chapter 26 Discriminatory Expressions to Improve Model Comprehensibility in Short Documents
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    Chapter 27 Scene Text Recognition: An Overview
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    Chapter 28 An Encoder-Decoder Approach to Offline Handwritten Mathematical Expression Recognition with Residual Attention
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    Chapter 29 Hologram Detection for Identity Document Authentication
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    Chapter 30 A New Deep Fuzzy Based MSER Model for Multiple Document Images Classification
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    Chapter 31 Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
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    Chapter 32 Fourier Domain CT Reconstruction with Complex Valued Neural Networks
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    Chapter 33 Seeking Attention: Using Full Context Transformers for Better Disparity Estimation
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    Chapter 34 Inpainting Applied to Facade Images: A Comparison of Algorithms
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    Chapter 35 Self-distilled Self-supervised Depth Estimation in Monocular Videos
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    Chapter 36 Improving UWB Image Reconstruction for Breast Cancer Diagnosis by Doing an Iterative Analysis of Radar Signals
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    Chapter 37 Personalized Frame-Level Facial Expression Recognition in Video
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    Chapter 38 3D Reconstruction of Medical Image Based on Improved Ray Casting Algorithm
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    Chapter 39 Lateral Ego-Vehicle Control Without Supervision Using Point Clouds
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    Chapter 40 RDMMLND: A New Robust Deep Model for Multiple License Plate Number Detection in Video
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    Chapter 41 Generative Target Update for Adaptive Siamese Tracking
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    Chapter 42 From Synthetic to One-Shot Regression of Camera-Agnostic Human Performances
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    Chapter 43 Computation of 2D Discrete Geometric Moments Through Inclusion-Exclusion
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    Chapter 45 Compositing Foreground and Background Using Variational Autoencoders
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    Chapter 46 Unsupervised Representation Learning via Information Compression
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    Chapter 47 Remote Sensing Scene Classification Based on Covariance Pooling of Multi-layer CNN Features Guided by Saliency Maps
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    Chapter 48 Attention Embedding ResNet for Pest Classification
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    Chapter 49 Multi Layered Feature Explanation Method for Convolutional Neural Networks
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    Chapter 50 Bayesian Gate Mechanism for Multi-task Scale Learning
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    Chapter 52 Face Age Progression with Attribute Manipulation
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    Chapter 53 Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
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    Chapter 54 Guiding Random Walks by Effective Resistance for Effective Node Embedding
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    Chapter 55 An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian Representation
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    Chapter 56 Pruning Neural Nets by Optimal Neuron Merging