Statistical Learning and Pattern Analysis for Image and Video Processing

To chci

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 statistical learning for pattern analysis. Among the various technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and important approach, and is the area which has undergone the most rapid development in recent years. Above all, it provides a unifying theoretical framework for applications of visual pattern analysis. This unique textbook/reference provides a comprehensive overview of theories, methodologies, and recent developments in the field of statistical learning and statistical analysis for visual pattern modeling and computing.- … celý popis

Podrobná bibliografie

Hlavní autor

Nanning Zheng

Další autoři

Jianru Xue
SpringerLink (online služba)

Typ dokumentu

Knihy

Fyzický popis

1 online zdroj (XVI, 365 p.)

Vydáno

London : Springer London : 2009

Vydání

1st ed. 2009

Edice

Advances in Computer Vision and Pattern Recognition,

Témata

elektronické knihy

ISBN

978-1-84882-312-9

Obsah

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