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96
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 20 hour ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
82
Voted
ECCV
2006
Springer
16 years 1 months ago
Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization
Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
Amnon Shashua, Ron Zass, Tamir Hazan
108
Voted
PAMI
2006
106views more  PAMI 2006»
14 years 11 months ago
Statistical Analysis of Dynamic Actions
Real-world action recognition applications require the development of systems which are fast, can handle a large variety of actions without a priori knowledge of the type of actio...
Lihi Zelnik-Manor, Michal Irani
122
Voted
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
14 years 11 months ago
The Hausdorff Voronoi Diagram of Point Clusters in the Plane
We study the Hausdorff Voronoi diagram of point clusters in the plane, a generalization of Voronoi diagrams based on the Hausdorff distance function. We derive a tight combinatori...
Evanthia Papadopoulou
BIOINFORMATICS
2005
93views more  BIOINFORMATICS 2005»
14 years 11 months ago
Donuts, scratches and blanks: robust model-based segmentation of microarray images
Inner holes, artifacts and blank spots are common in microarray images, but current image analysis methods do not pay them enough attention. We propose a new robust model-based me...
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, K...