Progress in Computer Recognition Systems

Table of Contents

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   Book Overview
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   Chapter 1 Graph Grammar Models in Syntactic Pattern Recognition
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   Chapter 2 Computer Vision Methods for Non-destructive Quality Assessment in Additive Manufacturing
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   Chapter 3 Combined k NN Classifier for Classification of Incomplete Data
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   Chapter 4 Object Detection in Design Diagrams with Machine Learning
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   Chapter 5 Separation of Speech from Speech Interference Based on EGG
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   Chapter 6 Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes
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   Chapter 7 Exploiting Label Interdependencies in Multi-label Classification
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   Chapter 8 Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network
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    Chapter 9 Factorization Machines for Blog Feedback Prediction
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    Chapter 10 Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning
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    Chapter 11 Segmentation of Subretinal Hyperreflective Material and Pigment Epithelial Detachment Using Kernel Graph Cut
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    Chapter 12 Road Tracking Using Deep Reinforcement Learning for Self-driving Car Applications
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    Chapter 13 New Heuristics for TCP Retransmission Timers
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    Chapter 14 Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing
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    Chapter 15 Segmentation of Scanned Documents Using Deep-Learning Approach
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    Chapter 16 cGAAM – An Algorithm for Simultaneous Feature Selection and Clustering
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    Chapter 17 Online Adaptation of Language Models for Speech Recognition
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    Chapter 18 Pedestrian Detection in Severe Lighting Conditions: Comparative Study of Human Performance vs Thermal-Imaging-Based Automatic System
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    Chapter 19 Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach
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    Chapter 20 A Deep Learning Approach to Recognition of the Atmospheric Circulation Regimes
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    Chapter 21 Deep Learning for Object Tracking in 360 Degree Videos
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    Chapter 22 Texture Features for the Detection of Playback Attacks: Towards a Robust Solution
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    Chapter 23 Image Smoothing Using $$\ell ^p$$ ℓ p Penalty for $$0\le p\le 1$$ 0 ≤ p ≤ 1 with Use of Alternating Minimization Algorithm
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    Chapter 24 Deep-Based Openset Classification Technique and Its Application in Novel Food Categories Recognition
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    Chapter 25 Singing Power Ratio Analysis in the Context of the Influence of Warm up on Singing Voice Quality
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    Chapter 26 Evaluation of a Feature Set with Word Embeddings to Improve Named Entity Recognition on Tweets
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    Chapter 27 Introducing Action Planning to the Anticipatory Classifier System ACS2
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    Chapter 28 Supervised Classification Box Algorithm Based on Graph Partitioning
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    Chapter 29 Algorithm of Multidimensional Analysis of Main Features of PCA with Blurry Observation of Facility Features Detection of Carcinoma Cells Multiple Myeloma
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    Chapter 30 A New Benchmark Collection for Driver Fatigue Research Based on Thermal, Depth Map and Visible Light Imagery
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    Chapter 31 Image Contrast Enhancement Based on Laplacian-of-Gaussian Filter Combined with Morphological Reconstruction
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    Chapter 32 Lattice Auto-Associative Memories Induced Multivariate Morphology for Hyperspectral Image Spectral-Spatial Classification
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    Chapter 33 Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers
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    Chapter 34 Hybrid Algorithm for the Detection and Recognition of Railway Signs
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    Chapter 35 Combination of Linear Classifiers Using Score Function – Analysis of Possible Combination Strategies
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    Chapter 36 Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification