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CAIP
2003
Springer
164views Image Analysis» more  CAIP 2003»
14 years 3 months ago
Face Recognition by Fisher and Scatter Linear Discriminant Analysis
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
Miroslaw Bober, Krzysztof Kucharski, Wladyslaw Ska...
PAMI
2010
190views more  PAMI 2010»
13 years 4 months ago
Linear Regression for Face Recognition
In this paper, we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
Imran Naseem, Roberto Togneri, Mohammed Bennamoun
SBACPAD
2008
IEEE
249views Hardware» more  SBACPAD 2008»
14 years 4 months ago
Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...
Gustavo Poli, José Hiroki Saito, Joã...
PR
2010
170views more  PR 2010»
13 years 8 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
TIP
2011
137views more  TIP 2011»
13 years 4 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...