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

Subspace Methods for Pattern Recognition in Intelligent Environment

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
38 497 Ft
This research book provides a comprehensive overview of the state-of-the-art subspace learning metho...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2014
oldal
199
EAN
9783642548505
ISBN
3642548504
Enbook ID
02527432
Súly
4498
Méretek
155 x 235 x 17

Teljes leírás

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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