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127
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ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 6 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...
AIRS
2005
Springer
15 years 6 months ago
An Iterative Approach for Web Catalog Integration with Support Vector Machines
Abstract. Web catalog integration is an emerging problem in current digital content management. Past studies show that more improvement on integration accuracy can be achieved with...
Ing-Xiang Chen, Jui-Chi Ho, Cheng-Zen Yang
102
Voted
CIKM
2005
Springer
15 years 6 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
104
Voted
IJCNLP
2005
Springer
15 years 6 months ago
Relation Extraction Using Support Vector Machine
This paper presents a supervised approach for relation extraction. We apply Support Vector Machines to detect and classify the relations in Automatic Content Extraction (ACE) corpu...
Gum-Won Hong
119
Voted
PVM
2005
Springer
15 years 6 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati