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» Clustering with Lower Bound on Similarity
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88
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DAGSTUHL
2007
15 years 2 months ago
Approximating min-max k-clustering
We consider the problems of set partitioning into k clusters with minimum total cost and minimum of the maximum cost of a cluster. The cost function is given by an oracle, and we ...
Asaf Levin
97
Voted
NECO
2007
74views more  NECO 2007»
15 years 7 days ago
Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
An ensemble of stochastic non-leaky integrate-and-fire neurons with global, delayed and excitatory coupling and a small refractory period is analyzed. Simulations with adiabatic ...
Andreas Kaltenbrunner, Vicenç Gómez,...
ECCV
2008
Springer
16 years 2 months ago
Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images
Abstract. We address the problem of estimating human body pose from a single image with cluttered background. We train multiple local linear regressors for estimating the 3D pose f...
Ryuzo Okada, Stefano Soatto
104
Voted
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 2 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
149
Voted
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 2 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...