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ICMCS
2010
IEEE
169views Multimedia» more  ICMCS 2010»
15 years 5 months ago
Comparison of clustering approaches for summarizing large populations of images
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...
Yushi Jing, Michele Covell, Henry A. Rowley
CEC
2010
IEEE
15 years 2 months ago
Real-coded differential crisp clustering for MRI brain image segmentation
Abstract-- In this paper, a segmentation technique of multispectral magnetic resonance image of the brain using a new differential evolution based crisp clustering is proposed. Rea...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
126
Voted
COLT
2010
Springer
15 years 2 months ago
Robust Hierarchical Clustering
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
Maria-Florina Balcan, Pramod Gupta
COGSCI
2010
65views more  COGSCI 2010»
15 years 2 months ago
Network Structure Influences Speech Production
Network science provides a new way to look at old questions in cognitive science by examining the structure of a complex system, and how that structure might influence processing....
Kit Ying Chan, Michael S. Vitevitch
160
Voted
AAAI
2010
15 years 5 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He