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UAI
2001
15 years 7 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
ESWA
2008
116views more  ESWA 2008»
15 years 6 months ago
The application of clustering analysis for the critical areas on TFT-LCD panel
For thin film transistor-liquid crystal displays (TFT-LCD) factories in Taiwan, yield performance had become as an important competitiveness determinant during the competitive env...
Kun-Lin Hsieh
CSDA
2006
91views more  CSDA 2006»
15 years 6 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...
JCP
2008
162views more  JCP 2008»
15 years 6 months ago
Shape Recognition by Clustering and Matching of Skeletons
We perform the task of shape recognition using a skeleton based method. Skeleton of the shape is considered as a free tree and is represented by a connectivity graph. Geometric fea...
Hamidreza Zaboli, Mohammad Rahmati, Abdolreza Mirz...
PAMI
2008
270views more  PAMI 2008»
15 years 6 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...