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» A Novel Framework for Discovering Robust Cluster Results
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BMCBI
2004
125views more  BMCBI 2004»
13 years 7 months ago
A functional hierarchical organization of the protein sequence space
Background: It is a major challenge of computational biology to provide a comprehensive functional classification of all known proteins. Most existing methods seek recurrent patte...
Noam Kaplan, Moriah Friedlich, Menachem Fromer, Mi...
ICVGIP
2004
13 years 9 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja
SOCO
2011
Springer
13 years 2 months ago
A novel approach to annotating web service based on interface concept mapping and semantic expansion
With the rapid development of web service technology in these years, traditional standards have been matured during the process of service registry and discovery. However, it is di...
Guobing Zou, Yang Xiang, Yanglan Gan, Yixin Chen
GECCO
2003
Springer
14 years 23 days ago
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Z...
ICCV
2007
IEEE
14 years 9 months ago
Scene Modeling Using Co-Clustering
In this paper, we propose a novel approach for scene modeling. The proposed method is able to automatically discover the intermediate semantic concepts. We utilize Maximization of...
Jingen Liu, Mubarak Shah