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Pattern Recognition
Edited by Peng-Yeng Yin, ISBN 978-953-307-014-8, Hard cover, 568 pages, Publisher: InTech, Published: October 01, 2009 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
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.
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Book contents
- Chapter 1Calibration of a Structured Light System Using Planar Objects
- Chapter 2Background Modelling with Associated Confidence
- Chapter 3New Trends in Motion Segmentation
- Chapter 4Volume Decomposition and Hierarchical Skeletonization for Shape Analysis
- Chapter 5Structure and Motion from Image Sequences Based on Multi-Scale Bayesian Network
- Chapter 6A Robust Iterative Multiframe SRR Based on Hampel Stochastic Estimation with Hampel-Tikhonov Regularization
- Chapter 7Novelty Detection: an Approach to Foreground Detection in Videos
- Chapter 8Application of the Wrapper Framework for Robust Image Segmentation For Object Detection and Recognition
- Chapter 9Projective Registration with Manifold Optimization
- Chapter 10Learning Pattern Classification Tasks with Imbalanced Data Sets
- Chapter 11Image Kernel for Recognition
- Chapter 12Statistical Inference on Markov Random Fields: Parameter Estimation, Asymptotic Evaluation and Contextual Classification of NMR Multispectral Images
- Chapter 13BIVSEE A Biologically Inspired Vision System for Enclosed Environments
- Chapter 14Multidirectional Binary Pattern for Face Recognition
- Chapter 15Bayesian Video Face Detection with Applications in Broadcasting
- Chapter 163D Human Posture Estimation Using HOG Features of Monocular Images
- Chapter 17Frequency Shifting for Emotional Speaker Recognition
- Chapter 18Pattern Recognition in Medical Image Diagnosis
- Chapter 19Neural Network Based Classification of Myocardial Infarction: A Comparative Study of Wavelet and Fourier Transforms
- Chapter 20A Cellular Automaton Framework for Image Processing on GPU
- Chapter 21Figure-Ground Discrimination and Distortion-Tolerant Recognition of Color Characters in Scene Images
- Chapter 22Segmenting the License Plate Region Using a Color Model
- Chapter 23Automatic Approaches to Plant Meristem States Revelation and Branching Pattern Extraction: A Review
- Chapter 24An Approach to Textile Recognition
- Chapter 25Approaches to Automatic Seabed Classification
- Chapter 26Pattern Recognition Methods for Improvement of Differential Protection in Power Transformers
- Chapter 27Forecasting Air Quality Data with the Gamma Classifier
- Chapter 28Spam Recognition using Linear Regression and Radial Basis Function Neural Network
- Chapter 29Designing and Training Feed-Forward Artificial Neural Networks For Secure Access Authorization
- Chapter 30Complementary Relevance Feedback Methods for Content-Based Image Retrieval
