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ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
14 years 1 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...
ISM
2006
IEEE
207views Multimedia» more  ISM 2006»
13 years 7 months ago
Affinity Hybrid Tree: An Indexing Technique for Content-Based Image Retrieval in Multimedia Databases
A novel indexing and access method, called Affinity Hybrid Tree (AH-Tree), is proposed to organize large image data sets efficiently and to support popular image access mechanisms...
Kasturi Chatterjee, Shu-Ching Chen
CLEF
2005
Springer
14 years 1 months ago
Content-Based Retrieval of Medical Images by Combining Global Features
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Mark Oliver Güld, Christian Thies, Benedikt F...
ICPR
2002
IEEE
14 years 17 days ago
Empirical Evaluation of MPEG-7 XM Color Descriptors in Content-Based Retrieval of Semantic Image Categories
This paper conducts an empirical evaluation of MPEG-7 visual part of experimentation model (XM) color descriptors in a challenging problem of content-based retrieval of semantic i...
Timo Ojala, Markus Aittola, Esa Matinmikko
TVCG
2002
135views more  TVCG 2002»
13 years 7 months ago
Three-Dimensional Interfaces for Querying by Example in Content-Based Image Retrieval
Image databases are nowadays widely exploited in a number of different contexts, ranging from history of art, through medicine, to education. Existing querying paradigms are based ...
Jürgen Assfalg, Alberto Del Bimbo, Pietro Pal...