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» Support Vector Machines: Theory and Applications
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FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
15 years 28 days ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
COLT
2003
Springer
15 years 5 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ...
Mehryar Mohri
ICCV
2011
IEEE
13 years 12 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
EUROCAST
2001
Springer
106views Hardware» more  EUROCAST 2001»
15 years 4 months ago
On CAST.FSM Computation of Hierarchical Multi-layer Networks of Automata
CAST.FSM denotes a CAST tool which has been developed at the Institute of Systems Science at the University of Linz during the years 1986-1993. The first version of CAST.FSM was i...
Michael Affenzeller, Franz Pichler, Rudolf Mittelm...
ICML
2004
IEEE
16 years 20 days ago
Distribution kernels based on moments of counts
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
Corinna Cortes, Mehryar Mohri