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ICASSP
2008
IEEE
14 years 4 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
ICPR
2008
IEEE
14 years 4 months ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
CVPR
2005
IEEE
13 years 12 months ago
Articulated Structure from Motion by Factorization
Multibody affine Structure From Motion (SFM) methods commonly assume independent motion between objects such that the ‘measurement matrix’ has rank 4k. When multiple views ar...
Philip A. Tresadern, Ian D. Reid
DAGSTUHL
2007
13 years 11 months ago
The Sinkhorn-Knopp Algorithm: Convergence and Applications
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the Sinkhorn-Knopp algorithm can be used to balance the matrix, that is, to find a diagonal sc...
Philip A. Knight
ECIR
2004
Springer
13 years 11 months ago
Combining CORI and the Decision-Theoretic Approach for Advanced Resource Selection
In this paper we combine two existing resource selection approaches, CORI and the decision-theoretic framework (DTF). The state-of-the-art system CORI belongs to the large group of...
Henrik Nottelmann, Norbert Fuhr