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» Active learning for image retrieval with Co-SVM
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PR
2007
205views more  PR 2007»
13 years 3 months ago
Active learning for image retrieval with Co-SVM
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
Jian Cheng, Kongqiao Wang
ICIP
2007
IEEE
13 years 10 months ago
Weighted Co-SVM for Image Retrieval with MVB Strategy
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
Xiaoyu Zhang, Jian Cheng, Hanqing Lu, Songde Ma
ICIP
2009
IEEE
13 years 1 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
13 years 7 months ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes
ICIP
2004
IEEE
14 years 5 months ago
Retin al: an active learning strategy for image category retrieval
Active learning methods have been considered with an increasing interest in the content-based image retrieval (CBIR) community. In this article, we propose an efficient method bas...
Philippe Henri Gosselin, Matthieu Cord