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CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
15 years 8 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...
ISM
2006
IEEE
138views Multimedia» more  ISM 2006»
15 years 4 months ago
Similarity Search Using Sparse Pivots for Efficient Multimedia Information Retrieval
Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, ca...
Nieves R. Brisaboa, Antonio Fariña, Oscar P...
ICIP
2009
IEEE
16 years 5 months ago
Mean Shift Feature Space Warping For Relevance Feedback
Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental rele...
ICDAR
2003
IEEE
15 years 10 months ago
An Improved Parallel Thinning Algorithm
This paper describes an improved thinning algorithm for binary images. We improve thinning algorithm from the fundamental properties such as connectivity, onepixel width, robust t...
Lei Huang, Genxun Wan, Changping Liu
128
Voted
SIGIR
2009
ACM
15 years 11 months ago
Approximating true relevance distribution from a mixture model based on irrelevance data
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
Peng Zhang, Yuexian Hou, Dawei Song