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» Feature selection for content-based image retrieval
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IJON
2008
121views more  IJON 2008»
13 years 8 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
MM
1999
ACM
126views Multimedia» more  MM 1999»
14 years 28 days ago
Robust color indexing
In content based image retrieval, color indexing is one of the most prevalent retrieval methods. In literature, most of the attention has been focussed on the color model with lit...
Nicu Sebe, Michael S. Lew
MEDINFO
2007
266views Healthcare» more  MEDINFO 2007»
13 years 10 months ago
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
Jayashree Kalpathy-Cramer, William R. Hersh
PR
2007
205views more  PR 2007»
13 years 8 months ago
Active learning for image retrieval with Co-SVM
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
Jian Cheng, Kongqiao Wang
MMM
2005
Springer
159views Multimedia» more  MMM 2005»
14 years 2 months ago
Region-Based Image Retrieval with High-Level Semantic Color Names
Performance of traditional content-based image retrieval systems is far from user’s expectation due to the ‘semantic gap’ between low-level visual features and the richness ...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma