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» Clustering with Instance-level Constraints
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VEE
2009
ACM
172views Virtualization» more  VEE 2009»
14 years 2 months ago
Entropy: a consolidation manager for clusters
Clusters provide powerful computing environments, but in practice much of this power goes to waste, due to the static allocation of tasks to nodes, regardless of their changing co...
Fabien Hermenier, Xavier Lorca, Jean-Marc Menaud, ...
ICCAD
2006
IEEE
103views Hardware» more  ICCAD 2006»
14 years 4 months ago
A statistical framework for post-silicon tuning through body bias clustering
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...
IPPS
2010
IEEE
13 years 5 months ago
A distributed diffusive heuristic for clustering a virtual P2P supercomputer
Abstract--For the management of a virtual P2P supercomputer one is interested in subgroups of processors that can communicate with each other efficiently. The task of finding these...
Joachim Gehweiler, Henning Meyerhenke
ACL
1997
13 years 9 months ago
Predicting the Semantic Orientation of Adjectives
We identify and validate from a large corpus constraints from conjunctions on the positive or negative semantic orientation of the conjoined adjectives. A log-linear regression mo...
Vasileios Hatzivassiloglou, Kathleen McKeown
CVPR
2009
IEEE
15 years 2 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...