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ECCV
2004
Springer
16 years 4 months ago
Temporal Factorization vs. Spatial Factorization
The traditional subspace-based approaches to segmentation (often referred to as multi-body factorization approaches) provide spatial clustering/segmentation by grouping together po...
Lihi Zelnik-Manor, Michal Irani
132
Voted
RECOMB
2005
Springer
16 years 2 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
119
Voted
ICML
2004
IEEE
16 years 3 months ago
Learning with non-positive kernels
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...
Alexander J. Smola, Cheng Soon Ong, Stéphan...
PAKDD
2007
ACM
110views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Combining Convolution Kernels Defined on Heterogeneous Sub-structures
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
Minlie Huang, Xiaoyan Zhu