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CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
13 years 9 months ago
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
ICITA
2005
IEEE
13 years 11 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
ECIR
2007
Springer
13 years 6 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001
CVPR
2007
IEEE
13 years 9 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...
WWW
2009
ACM
14 years 6 months ago
Advertising keyword generation using active learning
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng...