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» Learning and Generalization with the Information Bottleneck
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MIR
2006
ACM
223views Multimedia» more  MIR 2006»
16 years 17 days ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
SAC
2006
ACM
16 years 17 days ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
CIKM
2005
Springer
16 years 4 days ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
MM
2003
ACM
161views Multimedia» more  MM 2003»
15 years 12 months ago
An affinity-based image retrieval system for multimedia authoring and presentation
In this demonstration, we present an image retrieval system to support multimedia authoring and presentation. An affinity-based mechanism, Markov Model Mediator (MMM), is used as ...
Shu-Ching Chen, Mei-Ling Shyu, Na Zhao, Chengcui Z...
CIKM
2006
Springer
15 years 10 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...