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CVPR
2006
IEEE
16 years 1 months ago
Efficient Optimal Kernel Placement for Reliable Visual Tracking
This paper describes a novel approach to optimal kernel placement in kernel-based tracking. If kernels are placed at arbitrary places, kernel-based methods are likely to be trappe...
Zhimin Fan, Ming Yang, Ying Wu, Gang Hua, Ting Yu
DGCI
2008
Springer
15 years 1 months ago
Decomposition and Construction of Neighbourhood Operations Using Linear Algebra
In this paper, we introduce a method to express a local linear operated in the neighbourhood of each point in the discrete space as a matrix transform. To derive matrix expressions...
Atsushi Imiya, Yusuke Kameda, Naoya Ohnishi
MOC
1998
90views more  MOC 1998»
14 years 11 months ago
Numerical solution of parabolic integro-differential equations by the discontinuous Galerkin method
The numerical solution of a parabolic equation with memory is considered. The equation is first discretized in time by means of the discontinuous Galerkin method with piecewise co...
Stig Larsson, Vidar Thomée, Lars B. Wahlbin
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 8 days ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
95
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BMCBI
2008
164views more  BMCBI 2008»
14 years 12 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke