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» Mapping Heterogeneous Distributed Applications on Clusters
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HPCA
2007
IEEE
14 years 10 months ago
Illustrative Design Space Studies with Microarchitectural Regression Models
We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Benjamin C. Lee, David M. Brooks
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SEMWEB
2007
Springer
14 years 3 months ago
Emerging Consensus In-situ
Abstract Traditional ontology mapping techniques are not strictly applicable in a dynamic and distributed environment (e.g. P2P and pervasive computing) in which on-the-fly alignm...
Bo Hu, Srinandan Dasmahapatra, Paul H. Lewis
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 3 months ago
Parameter sweeps for exploring GP parameters
This paper describes our procedure and a software application for conducting large parameter sweep experiments in genetic and evolutionary computation research. Both procedure and...
Michael E. Samples, Jason M. Daida, Matthew J. Byo...
CVPR
2008
IEEE
14 years 11 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios