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» User Adaptive Clustering for Large Image Databases
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AMR
2008
Springer
251views Multimedia» more  AMR 2008»
14 years 11 months ago
Towards User-Adaptive Structuring and Organization of Music Collections
Abstract. We present a prototype system for organization and exploration of music archives that adapts to the user's way of structuring music collections. Initially, a growing...
Sebastian Stober, Andreas Nürnberger
101
Voted
PR
2006
164views more  PR 2006»
14 years 9 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
VLDB
1998
ACM
173views Database» more  VLDB 1998»
14 years 9 months ago
Fast Image Retrieval Using Color-Spatial Information
Abstract. In this paper, we present an image retrieval system that employs both the color and spatial information of images to facilitate the retrieval process. The basic unit used...
Beng Chin Ooi, Kian-Lee Tan, Tat-Seng Chua, Wynne ...
PR
2008
130views more  PR 2008»
14 years 9 months ago
Active semi-supervised fuzzy clustering
Clustering algorithms are increasingly employed for the categorization of image databases, in order to provide users with database overviews and make their access more effective. ...
Nizar Grira, Michel Crucianu, Nozha Boujemaa
ICIP
2002
IEEE
15 years 11 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis