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Pattern Recognition

"Pattern Recognition" ed. by Peng-Yeng Yin
InTeO | 2009 | ISBN: 9533070148 9789533070148 | 577 pages | PDF | 81 MB

This book discloses recent advances and new ideas in approaches and applications for pattern recognition. The 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.

1 Calibration of a Structured Light System Using Planar Objects
2 Background modelling with associated confidence
3 New Trends in Motion Segmentation
4 Volume Decomposition and Hierarchical Skeletonization for Shape Analysis
5 Structure and Motion from Image Sequences based on Multi-Scale Bayesian Network
6 A Robust Iterative Multiframe SRR based on Hampel Stochastic Estimation with Hampel-Tikhonov Regularization
7 Novelty Detection: An Approach to Foreground Detection in Videos
8 Application of the Wrapper Framework for Robust Image Segmentation For Object Detection and Recognition
9 Projective Registration with Manifold Optimization
10 Learning Pattern Classification Tasks with Imbalanced Data Sets
11 Image Kernel for Recognition
12 Statistical Inference on Markov Random Fields: Parameter Estimation, Asymptotic Evaluation and Contextual Classification of NMR Multispectral Images
13 BIVSEE - A Biologically Inspired Vision System for Enclosed Environments
14 Multidirectional Binary Pattern for Face Recognition
15 Bayesian Video Face Detection with Applications in Broadcasting
16 3D Human Posture Estimation Using HOG Features of Monocular Images
17 Frequency Shifting for Emotional Speaker Recognition
18 Pattern Recognition in Medical Image Diagnosis
19 Neural Network Based Classification of Myocardial Infarction: A Comparative Study of Wavelet and Fourier Transforms
20 A Cellular Automaton Framework for Image Processing on GPU
21 Figure-Ground Discrimination and Distortion-Tolerant Recognition of Color Characters in Scene Images
22 Segmenting the License Plate Region Using a Color Model
23 Automatic Approaches to Plant Meristem States Revelation and Branching Pattern Extraction: A Review
24 An Approach to Textile Recognition
25 Approaches to Automatic Seabed Classification
26 Pattern recognition methods for improvement of differential protection in power transformers
27 Forecasting Air Quality Data with the Gamma Classifier
28 Spam Recognition using Linear Regression and Radial Basis Function Neural Network
29 Designing and Training Feed-Forward Artificial Neural Networks For Secure Access Authorization
30 Complementary Relevance Feedback Methods for Content-Based Image Retrieval

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