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» Categorization using semi-supervised clustering
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ICIP
2006
IEEE
16 years 5 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
132
Voted
ICCV
2007
IEEE
16 years 5 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
150
Voted
APGV
2004
ACM
179views Visualization» more  APGV 2004»
15 years 9 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
130
Voted
EDBT
2009
ACM
113views Database» more  EDBT 2009»
15 years 10 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...
117
Voted
ECSQARU
2005
Springer
15 years 9 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