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» Gender Classification with Support Vector Machines
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JMLR
2010
115views more  JMLR 2010»
14 years 9 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
ICNC
2005
Springer
15 years 8 months ago
Support Vector Based Prototype Selection Method for Nearest Neighbor Rules
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
Yuangui Li, Zhonghui Hu, Yunze Cai, Weidong Zhang
117
Voted
ICML
2006
IEEE
16 years 3 months ago
Two-dimensional solution path for support vector regression
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
106
Voted
ANOR
2006
74views more  ANOR 2006»
15 years 2 months ago
Electroencephalogram (EEG) time series classification: Applications in epilepsy
Epilepsy is among the most common brain disorders. Approximately 25
Wanpracha Art Chaovalitwongse, Oleg A. Prokopyev, ...
94
Voted
CVPR
2008
IEEE
16 years 4 months ago
Enforcing non-positive weights for stable support vector tracking
In this paper we demonstrate that the support vector tracking (SVT) framework first proposed by Avidan is equivalent to the canonical Lucas-Kanade (LK) algorithm with a weighted E...
Simon Lucey