157 search results - page 6 / 32 » Relevance Feedback Techniques in Interactive Content-Based I... |
134
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CISST
2004
15 years 3 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
132
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ICMCS
2000
IEEE
15 years 6 months ago
2000
IEEE
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
146
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JMLR
2010
14 years 8 months ago
2010
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
117
Voted
ICPR
2000
IEEE
16 years 2 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
121
Voted
ECML
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...