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116
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ICITA
2005
IEEE
15 years 7 months ago
2005
IEEE
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...
111
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WWW
2005
ACM
16 years 2 months ago
2005
ACM
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
99
Voted
COCOON
2005
Springer
15 years 7 months ago
2005
Springer
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
119
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MM
2009
ACM
15 years 8 months ago
2009
ACM
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
105
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ERCIMDL
2009
Springer
15 years 8 months ago
2009
Springer
An effective graphic interface is a key tool to improve the fruition of the results retrieved by an Information Retrieval (IR) system. In this work, we describe a two-dimensional...