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LKR
2008
13 years 9 months ago
Identification of MCMC Samples for Clustering
Abstract. For clustering problems, many studies use just MAP assignments to show clustering results instead of using whole samples from a MCMC sampler. This is because it is not st...
Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato
CAD
2010
Springer
13 years 7 months ago
A non-rigid cluster rewriting approach to solve systems of 3D geometric constraints
We present a new constructive solving approach for systems of 3D geometric constraints. The solver is based on the cluster rewriting approach, which can efficiently solve large sy...
Hilderick A. van der Meiden, Willem F. Bronsvoort
ICML
2005
IEEE
14 years 8 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
IBPRIA
2007
Springer
14 years 1 months ago
Motion Segmentation from Feature Trajectories with Missing Data
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
Carme Julià, Angel Domingo Sappa, Felipe Lu...
WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
14 years 1 months ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...