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BDA
2007
13 years 8 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
CLEF
2009
Springer
13 years 5 months ago
Medical Image Retrieval: ISSR at CLEF 2009
This paper represents the first participation of the Institute of Statistical Studies and Research at Cairo University group in CLEF 2009-Medical image retrieval track. Our system...
Waleed Arafa, Ragia Ibrahim
MM
2004
ACM
173views Multimedia» more  MM 2004»
14 years 23 days ago
Cortina: a system for large-scale, content-based web image retrieval
Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest reposit...
Till Quack, Ullrich Mönich, Lars Thiele, B. S...
CIKM
2009
Springer
14 years 1 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
MM
2004
ACM
152views Multimedia» more  MM 2004»
14 years 23 days ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...