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» Categorization using semi-supervised clustering
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ICIP
2006
IEEE
14 years 9 months ago
On the Use of Metrics for Multi-Dimensional Descriptors Clustering
The Visual Thesaurus is a new query approach when no starting image is available. It is a concise representation of all similar regions in a panel of visual patches; the user arra...
Hichem Houissa, Nozha Boujemaa
ICCV
2007
IEEE
14 years 9 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey
APGV
2004
ACM
179views Visualization» more  APGV 2004»
14 years 1 months ago
Example-based color stylization based on categorical perception
We describe a new computational approach to stylize the colors of an image by using a reference image. During processing, we take characteristics of human color perception into ac...
Youngha Chang, Keiji Uchikawa, Suguru Saito
EDBT
2009
ACM
113views Database» more  EDBT 2009»
14 years 2 months ago
Type-based categorization of relational attributes
In this work we concentrate on categorization of relational attributes based on their data type. Assuming that attribute type/characteristics are unknown or unidentifiable, we an...
Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seid...
ECSQARU
2005
Springer
14 years 1 months ago
Default Clustering from Sparse Data Sets
Categorization with a very high missing data rate is seldom studied, especially from a non-probabilistic point of view. This paper proposes a new algorithm called default clusterin...
Julien Velcin, Jean-Gabriel Ganascia