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TKDE
2008
115views more  TKDE 2008»
13 years 5 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
CIDM
2009
IEEE
13 years 10 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...
KES
2004
Springer
13 years 11 months ago
Content-Based Image Retrieval Using Multiple Representations
Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
ECML
2003
Springer
13 years 10 months ago
Evaluation of Topographic Clustering and Its Kernelization
We consider the topographic clustering task and focus on the problem of its evaluation, which enables to perform model selection: topographic clustering algorithms, from the origin...
Marie-Jeanne Lesot, Florence d'Alché-Buc, G...
ICIP
2002
IEEE
14 years 7 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...