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» Line-Based PCA and LDA Approaches for Face Recognition
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IJCV
2006
115views more  IJCV 2006»
13 years 8 months ago
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
Pei Chen, David Suter
ICASSP
2011
IEEE
13 years 10 days ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...
AMFG
2007
IEEE
328views Biometrics» more  AMFG 2007»
14 years 3 months ago
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...
Xiaoyang Tan, Bill Triggs
ECCV
2004
Springer
14 years 10 months ago
Face Recognition with Local Binary Patterns
In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images. The face area is first divided into small...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 14 days ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han