TY  - CHAP
AU  - Mauridhi Hery Purnomo
AU  - Diah P. Wulandari
AU  - I. Ketut Eddy Purnama
AU  - Arif Muntasa
ED  - Parinya Sanguansat
Y1  - 2012-03-02
PY  - 2012
T1  - The Maximum Non-Linear Feature Selection of Kernel Based on Object Appearance
N2  - This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as image processing, biometric, face recognition and speech processing. It also includes the core concepts and the state-of-the-art methods in data analysis and feature extraction.
BT  - Principal Component Analysis
SP  - Ch. 8
UR  - https://doi.org/10.5772/38226
DO  - 10.5772/38226
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -