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ICML
2004
IEEE
16 years 1 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
102
Voted
ICML
2009
IEEE
15 years 7 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
112
Voted
ICPR
2008
IEEE
15 years 7 months ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Distributed SVM Applied to Image Classification
This paper proposes an algorithm for distributed classification, based on a SVM scheme. The contribution of each support vector is approximated by low complexity distributed thre...
Effrosini Kokiopoulou, Pascal Frossard
107
Voted
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
15 years 6 months ago
Human Motion Recognition with a Convolution Kernel
Abstract— We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, whic...
Dongwei Cao, Osama Masoud, Daniel Boley