Statistical Learning and Pattern Analysis for Image and Video Processing

The inexpensive collection, storage, and transmission of vast amounts of visual data has revolutionized science, technology, and business. Innovations from various disciplines have aided in the design of intelligent machines able to detect and exploit useful patterns in data. One such approach is st...

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Bibliographic Details
Main Authors: Zheng, Nanning (Author), Xue, Jianru (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London, 2009.
Edition:1.
Series:Advances in Pattern Recognition,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Pattern Analysis and Statistical Learning
  • Unsupervised Learning for Visual Pattern Analysis
  • Component Analysis
  • Manifold Learning
  • Functional Approximation
  • Supervised Learning for Visual Pattern Classification
  • Statistical Motion Analysis
  • Bayesian Tracking of Visual Objects
  • Probabilistic Data Fusion for Robust Visual Tracking
  • Multitarget Tracking in Video-Part I
  • Multi-Target Tracking in Video – Part II
  • Information Processing in Cognition Process and New Artificial Intelligent Systems.