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» Progressive refinement for support vector machines
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DATAMINE
2010
76views more  DATAMINE 2010»
13 years 5 months ago
Progressive refinement for support vector machines
Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
13 years 10 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
ICML
2004
IEEE
14 years 5 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
13 years 10 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
NIPS
2003
13 years 6 months ago
Phonetic Speaker Recognition with Support Vector Machines
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
William M. Campbell, Joseph P. Campbell, Douglas A...