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» New Support Vector Algorithms
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100
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SDM
2010
SIAM
151views Data Mining» more  SDM 2010»
15 years 4 months ago
Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs
The high computational cost of nonlinear support vector machines has limited their usability for large-scale problems. We propose two novel stochastic algorithms to tackle this pr...
Hua Ouyang, Alexander Gray
109
Voted
MCS
2005
Springer
15 years 8 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
123
Voted
TSMC
1998
132views more  TSMC 1998»
15 years 2 months ago
Decision support for vehicle dispatching using genetic programming
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
Ilham Benyahia, Jean-Yves Potvin
ECCV
2000
Springer
16 years 4 months ago
Learning Similarity for Texture Image Retrieval
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
Guodong Guo, Stan Z. Li, Kap Luk Chan
123
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ICNP
2005
IEEE
15 years 8 months ago
Path Vector Face Routing: Geographic Routing with Local Face Information
Existing geographic routing algorithms depend on the planarization of the network connectivity graph for correctness, and the planarization process gives rise to a welldefined no...
Ben Leong, Sayan Mitra, Barbara Liskov