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» Consistent Minimization of Clustering Objective Functions
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NIPS
2007
13 years 6 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
JMMA
2010
162views more  JMMA 2010»
12 years 11 months ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot
CONSTRAINTS
2008
138views more  CONSTRAINTS 2008»
13 years 5 months ago
Minimization of Locally Defined Submodular Functions by Optimal Soft Arc Consistency
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose algorithms have high-order polynomial time complexi...
Martin C. Cooper
ICIP
2002
IEEE
14 years 6 months ago
Segmentation of non-rigid video objects using long term temporal consistency
This paper presents a new object-based segmentation technique which exploits a large temporal context in order to get coherent and robust segmentation results. The segmentation pr...
Henri Nicolas, Marc Chaumont, Stéphane Pate...
AAAI
2010
13 years 6 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