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JMLR
2006
124views more  JMLR 2006»
15 years 19 days ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
91
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JUCS
2007
124views more  JUCS 2007»
15 years 17 days ago
An Improved SVM Based on Similarity Metric
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
Chaoyong Wang, Yanfeng Sun, Yanchun Liang
89
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TASLP
2010
102views more  TASLP 2010»
14 years 11 months ago
Representing Musical Sounds With an Interpolating State Model
—A computationally efficient algorithm is proposed for modeling and representing time-varying musical sounds. The aim is to encode individual sounds and not the statistical prop...
Anssi Klapuri, Tuomas Virtanen
JCT
2011
104views more  JCT 2011»
14 years 7 months ago
Bounds for solid angles of lattices of rank three
We find sharp absolute constants C1 and C2 with the following property: every well-rounded lattice of rank 3 in a Euclidean space has a minimal basis so that the solid angle spann...
Lenny Fukshansky, Sinai Robins
169
Voted
CVPR
2012
IEEE
13 years 3 months ago
The inverted multi-index
A new data structure for efficient similarity search in very large datasets of high-dimensional vectors is introduced. This structure called the inverted multi-index generalizes ...
Artem Babenko, Victor S. Lempitsky