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CVPR
2009
IEEE
14 years 18 days ago
Manifold Discriminant Analysis
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Ruiping Wang, Xilin Chen
ICPR
2008
IEEE
14 years 7 months ago
Cone-restricted subspace methods
In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper...
Takumi Kobayashi, Nobuyuki Otsu
CVPR
2003
IEEE
14 years 7 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
PR
2010
145views more  PR 2010»
13 years 4 months ago
Graph-optimized locality preserving projections
Locality preserving projections (LPP) is a typical graph-based dimensionality reduction (DR) method, and has been successfully applied in many practical problems such as face recog...
Limei Zhang, Lishan Qiao, Songcan Chen
ICIAP
2005
ACM
14 years 5 months ago
Interactive, Mobile, Distributed Pattern Recognition
As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative appro...
George Nagy