Pattern Recognition Techniques, Technology and Applications

Pattern Recognition Techniques, Technology and Applications

Second Edition

2016 | ISBN: 9537619249 | 636 Pages | PDF | 60 MB

This volume is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The book discloses recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition.

A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks.

Contents
Preface
1 Local Energy Variability as a Generic Measure of Bottom-Up Salience
2 Real-Time Detection of Infrared Profile Patterns and Features Extraction
3 A Survey of Shape Feature Extraction Techniques
4 Computational Intelligence Approaches to Brain Signal Pattern Recognition
5 Automatic Calibration of Hybrid Dynamic Vision System for High Resolution Object Tracking
6 Image Representation Using Fuzzy Morphological Wavelet
7 Multidimensional Texture Analysis for Unsupervised Pattern Classification
8 Rock Particle Image Segmentation and Systems
9 Unsupervised Texture Segmentation
10 Optimization of Goal Function Pseudogradient in the Problem of Interframe Geometrical Deformations Estimation
11 New Digital Approach to CNN On-chip Implementation for Pattern Recognition
12 Distortion-Invariant Pattern Recognition with Adaptive Correlation Filters
13 Manifold Matching for High-Dimensional Pattern Recognition
14 Output Coding Methods: Review and Experimental Comparison
15 Activity Recognition Using Probabilistic Timed Automata
16 Load Time-Series Classification Based on Pattern Recognition Methods
17 Theory of Cognitive Pattern Recognition
18 Parametric Circle Approximation Using Genetic Algorithms
19 Registration of Point Patterns Using Modern Evolutionary Algorithms
20 Investigation of a New Artificial Immune System Model Applied to Pattern Recognition
21 Designing a Pattern Recognition Neural Network with a Reject Output and Many Sets of Weights and Biases
22 A SIFT-Based Fingerprint Verification System Using Cellular Neural Networks
23 The Fourth Biometric - Vein Recognition
24 A Hybrid Pattern Recognition Architecture for Cutting Tool Condition Monitoring
25 Mining Digital Music Score Collections: Melody Extraction and Genre Recognition
26 Application of Forward Error Correcting Algorithms to Positioning Systems
27 Pattern Recognition in Time-Frequency Domain: Selective Regional Correlation and Its Applications

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