Kniha Subspace Methods for Pattern Recognition in Intelligent Environment Yen-Wei Chen

Subspace Methods for Pattern Recognition in Intelligent Environment

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
2 286
This research book provides a comprehensive overview of the state-of-the-art subspace learning metho...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2014
Stránek
199
EAN
9783642548505
ISBN
3642548504
Enbook ID
02527432
Hmotnost
4498
Rozměry
155 x 235 x 17

Kompletní popis

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.§

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