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ICPR
2008
IEEE
14 years 2 months ago
Generalized Chebyshev Kernels for Support Vector Classification
In this paper, a method to generalize previously proposed Chebyshev Kernel function is presented for Support Vector Classification in order to obtain more robust and higher classi...
Sedat Ozer, Chi Hau Chen
FTML
2010
159views more  FTML 2010»
13 years 6 months ago
Dimension Reduction: A Guided Tour
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
Christopher J. C. Burges
ICPR
2008
IEEE
14 years 2 months ago
A novel robust kernel for appearance-based learning
Robustness is one of the most critical issues in the appearance-based learning strategies. In this work, we propose a novel kernel that is robust against data corruption for vario...
Chia-Te Liao, Shang-Hong Lai
ICCV
2005
IEEE
14 years 9 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
ICCV
2007
IEEE
14 years 9 months ago
Articulated Shape Matching by Robust Alignment of Embedded Representations
In this paper we propose a general framework to solve the articulated shape matching problem, formulated as finding point-to-point correspondences between two shapes represented b...
Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond ...