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» Line-Based PCA and LDA Approaches for Face Recognition
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ESANN
2004
13 years 10 months ago
Face Recognition Using Recurrent High-Order Associative Memories
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Iulian B. Ciocoiu
FGR
2008
IEEE
258views Biometrics» more  FGR 2008»
14 years 3 months ago
Multi-PIE
A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a contro...
Ralph Gross, Iain Matthews, Jeffrey F. Cohn, Takeo...
IBPRIA
2007
Springer
14 years 2 months ago
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
Arnau Oliver, Xavier Lladó, Joan Mart&iacut...
CVPR
2010
IEEE
14 years 4 months ago
Face Recognition with Learning-based Descriptor
We present a novel approach to address the representation issue and the matching issue in face recognition (verification). Firstly, our approach encodes the micro-structures of t...
Zhimin Cao, Qi Yin, Jian Sun, Xiaoou Tang
SSPR
2004
Springer
14 years 1 months ago
Combining Classifier for Face Identification at Unknown Views with a Single Model Image
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Tae-Kyun Kim, Josef Kittler