模式识别 Pattern recognition

　　This edition includes discussion of Bayesian classification， Bayesian networks， linear and nonlinear classifier design （including neural networks and support vector machines）， dynamic programming and hidden Markov models for sequential data， feature generation （including wavelets， principal component analysis， independent component analysis and fractals）， feature selection techniques， basic concepts from learning theory， and clustering concepts and algorithms. This book considers classical and current theory and practice， of both supervised and unsupervised pattern recognition， to build a complete background for professionals and students of engineering.

暂缺《模式识别 Pattern recognition》作者简介

Image Analysis I
Model-Based Image Segmentation Using Local Self-Adapting Separation
SIMBA-Search IMages by Appearance
Texture Defect Detection Using Invariant Textural Features
Poster
Segmentation of Spontaneously Splitting Figures into Overlapping Layers
Writer Adaptation for On-Line Handwriting Recognition
Blood Vessel Detection in Retinal Images by Shape-Based Multi-threshold
Probing
Vehicle Detection in Aerial Images Using Generic Features, Grouping, and Context
Reconstruction of Image Structure in Presence of Specular Reflections
3D-Gathering & Visualisation
Spatio-temporal Analysis of Human Faces Using Multi-resolution
Subdivision Surfaces
3D Anisotropic Diffusion Filtering for Enhancing Noisy Actin Filament
Fluorescence Images
Poster
Optimal Camera Orientation from Points and Straight Lines
Points, Lines and Planes and Their Optimal Estimation
A Probabilistic Approach to Simultaneous Segmentation, Object Recognition, 3D Localization and Tracking Using Stereo
Improving the Robustness in Extracting 3D Point Landmarks Based on Deformable Models
Efficient 3D Vertex Detection in Range Images Acquired with a Laser
Image Processing
Scale Adaptive Filtering Derived from the Laplace Equation
One-Sided Stability of Medial Axis Transform
Poster
Robust Line Detection in Historical Church Registers
Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition
Affine Point Pattern Matching
Image Sequence Analysis
Surface Expansion from Range Data Sequences
Illumination-Invariant Change Detection Using a Statistical Colinearity Criterion
……
Poster
Classifcation
Poster
Active Vision
Poster
Image Analysis II
3D-Reconstruction
Poster
Inteaction Viriual witfh Real Worlds
Poster
Invited Talk