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ECAI
2010
Springer
13 years 5 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
ICIP
2005
IEEE
14 years 9 months ago
A complementary SVMs-based image annotation system
A novel automatic image annotation system is proposed, which integrates two sets of SVMs (Support Vector Machines), namely the MIL-based (Multiple Instance Learning) and global-fe...
Yutao Han, Xiaojun Qi
ICML
2006
IEEE
14 years 8 months ago
MISSL: multiple-instance semi-supervised learning
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...
Rouhollah Rahmani, Sally A. Goldman
SAMT
2007
Springer
99views Multimedia» more  SAMT 2007»
14 years 1 months ago
User-Centric Retrieval of Visual Surveillance Content
Abstract—An interactive retrieval method adapted to surveillance video is presented. The approach is formulated as an iterative SVM classification and builds upon the two major ...
Jérôme Meessen, Xavier Desurmont, Chr...
ISCI
2007
65views more  ISCI 2007»
13 years 7 months ago
Decision-tree instance-space decomposition with grouped gain-ratio
This paper examines a decision-tree framework for instance-space decomposition. According to the framework, the original instance-space is hierarchically partitioned into multiple...
Shahar Cohen, Lior Rokach, Oded Maimon