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» Tracking Clusters in Evolving Data Sets
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ICMCS
2010
IEEE
152views Multimedia» more  ICMCS 2010»
13 years 8 months ago
Bipolar grouping
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...
Jiang Xu, Junsong Yuan, Ying Wu

Book
321views
15 years 5 months ago
Algorithms
"This book evolved over the past ten years from a set of lecture notes developed while teaching the undergraduate Algorithms course at Berkeley and U.C. San Diego. Our way of ...
S. Dasgupta, C.H. Papadimitriou, and U.V. Vazirani
CVPR
2008
IEEE
13 years 7 months ago
Tracking distributions with an overlap prior
Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/t...
Ismail Ben Ayed, Shuo Li, Ian G. Ross
ICTAI
2007
IEEE
14 years 2 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
CEC
2007
IEEE
14 years 2 months ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay