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» An adaptive technique for content-based image retrieval
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ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
ICARCV
2006
IEEE
232views Robotics» more  ICARCV 2006»
15 years 3 months ago
Analysis of Relevance Feedback in Content Based Image Retrieval
: Relevance feedback in Content Based Image Retrieval(CBIR) has been an active field of research for quite some time now. Many schemes and techniques of relevance feedback exist w...
P. Suman Karthik, C. V. Jawahar
ICPR
2004
IEEE
15 years 10 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja
AIRS
2008
Springer
15 years 4 months ago
A Semantic Content-Based Retrieval Method for Histopathology Images
This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level ...
Juan C. Caicedo, Fabio A. González, Eduardo...
86
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VISUAL
1999
Springer
15 years 1 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...