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This book is indexed in
Computer and Information Science » Artificial Intelligence
Pattern Recognition
Edited by Peng-Yeng Yin, ISBN 978-953-307-014-8, Hard cover, 568 pages, Publisher: InTech, Chapters published October 01, 2009 under CC BY-NC-SA 3.0 license
For more than 40 years, pattern recognition approaches are continuingly improving and have been used in an increasing number of areas with great success. This book discloses recent advances and new ideas in approaches and applications for pattern recognition. The 30 chapters selected in this book cover the major topics in pattern recognition. These chapters propose state-of-the-art approaches and cutting-edge research results. I could not thank enough to the contributions of the authors. This book would not have been possible without their support.
- Chapter 1
Calibration of a Structured Light System Using Planar Objects - Chapter 2
Background Modelling with Associated Confidence - Chapter 3
New Trends in Motion Segmentation - Chapter 4
Volume Decomposition and Hierarchical Skeletonization for Shape Analysis - Chapter 5
Structure and Motion from Image Sequences Based on Multi-Scale Bayesian Network - Chapter 6
A Robust Iterative Multiframe SRR Based on Hampel Stochastic Estimation with Hampel-Tikhonov Regularization - Chapter 7
Novelty Detection: an Approach to Foreground Detection in Videos - Chapter 8
Application of the Wrapper Framework for Robust Image Segmentation For Object Detection and Recognition - Chapter 9
Projective Registration with Manifold Optimization - Chapter 10
Learning Pattern Classification Tasks with Imbalanced Data Sets - Chapter 11
Image Kernel for Recognition - Chapter 12
Statistical Inference on Markov Random Fields: Parameter Estimation, Asymptotic Evaluation and Contextual Classification of NMR Multispectral Images - Chapter 13
BIVSEE A Biologically Inspired Vision System for Enclosed Environments - Chapter 14
Multidirectional Binary Pattern for Face Recognition - Chapter 15
Bayesian Video Face Detection with Applications in Broadcasting - Chapter 16
3D Human Posture Estimation Using HOG Features of Monocular Images - Chapter 17
Frequency Shifting for Emotional Speaker Recognition - Chapter 18
Pattern Recognition in Medical Image Diagnosis - Chapter 19
Neural Network Based Classification of Myocardial Infarction: A Comparative Study of Wavelet and Fourier Transforms - Chapter 20
A Cellular Automaton Framework for Image Processing on GPU - Chapter 21
Figure-Ground Discrimination and Distortion-Tolerant Recognition of Color Characters in Scene Images - Chapter 22
Segmenting the License Plate Region Using a Color Model - Chapter 23
Automatic Approaches to Plant Meristem States Revelation and Branching Pattern Extraction: A Review - Chapter 24
An Approach to Textile Recognition - Chapter 25
Approaches to Automatic Seabed Classification - Chapter 26
Pattern Recognition Methods for Improvement of Differential Protection in Power Transformers - Chapter 27
Forecasting Air Quality Data with the Gamma Classifier - Chapter 28
Spam Recognition using Linear Regression and Radial Basis Function Neural Network - Chapter 29
Designing and Training Feed-Forward Artificial Neural Networks For Secure Access Authorization - Chapter 30
Complementary Relevance Feedback Methods for Content-Based Image Retrieval
