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» Learning to rank for content-based image retrieval
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CVPR
2006
IEEE
16 years 8 months ago
A Simple Bayesian Framework for Content-Based Image Retrieval
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...
Katherine A. Heller, Zoubin Ghahramani
KDD
2000
ACM
116views Data Mining» more  KDD 2000»
15 years 9 months ago
Learning Feature Weights from User Behavior in Content-Based Image Retrieval
Henning Müller, Wolfgang Müller 0002, Da...
110
Voted
JACIII
2007
72views more  JACIII 2007»
15 years 6 months ago
A Feature Vector Approach for Inter-Query Learning for Content-Based Image Retrieval
Kien-Ping Chung, Chun Che Fung
JMLR
2010
141views more  JMLR 2010»
15 years 1 months ago
Pinview: Implicit Feedback in Content-Based Image Retrieval
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...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...
CIVR
2006
Springer
143views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Asymmetric Learning and Dissimilarity Spaces for Content-Based Retrieval
Abstract. This paper presents novel dissimilarity space specially designed for interactive multimedia retrieval. By providing queries made of positive and negative examples, the go...
Eric Bruno, Nicolas Moënne-Loccoz, Sté...