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

Subspace Methods for Pattern Recognition in Intelligent Environment

Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
423.49
This research book provides a comprehensive overview of the state-of-the-art subspace learning metho...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2014
strony
199
EAN
9783642548505
ISBN
3642548504
Enbook ID
02527432
Waga
4498
Wymiary
155 x 235 x 17

Pełny opis

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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