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» Classification via semi-Riemannian spaces
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CVPR
2008
IEEE
13 years 6 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
TKDE
2011
479views more  TKDE 2011»
12 years 11 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
CVPR
2007
IEEE
14 years 6 months ago
Human Detection via Classification on Riemannian Manifolds
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
Oncel Tuzel, Fatih Porikli, Peter Meer
DCC
2006
IEEE
14 years 3 months ago
Classification and Constructions of Complete Caps in Binary Spaces
We give new recursive constructions of complete caps in PG(n, 2). We approach the problem of constructing caps with low dependency via the doubling construction and comparison to ...
Mahdad Khatirinejad, Petr Lisonek
ICIP
2010
IEEE
13 years 2 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang