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ICCV
2003
IEEE
16 years 1 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
EMMCVPR
2005
Springer
15 years 5 months ago
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
ICPP
2007
IEEE
15 years 6 months ago
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
Performance and power are critical design constraints in today’s high-end computing systems. Reducing power consumption without impacting system performance is a challenge for t...
Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Camero...
GECCO
2009
Springer
143views Optimization» more  GECCO 2009»
15 years 6 months ago
Exploiting hierarchical clustering for finding bounded diameter minimum spanning trees on euclidean instances
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising, for example, in network design when quality of service is of concern. ...
Martin Gruber, Günther R. Raidl
ICAPR
2005
Springer
15 years 5 months ago
Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
Hiroaki Kawashima, Takashi Matsuyama