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» Terminating Decision Algorithms Optimally
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ASPDAC
2006
ACM
110views Hardware» more  ASPDAC 2006»
15 years 9 months ago
Switching-activity driven gate sizing and Vth assignment for low power design
Power consumption has gained much saliency in circuit design recently. One design problem is modelled as ”Under a timing constraint, to minimize power as much as possible”. Pr...
Yu-Hui Huang, Po-Yuan Chen, TingTing Hwang
CVPR
2005
IEEE
15 years 8 months ago
Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing...
Zhihong Zeng, Jilin Tu, Brian Pianfetti, Ming Liu,...
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 8 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
ICCS
2003
Springer
15 years 8 months ago
Self-Adapting Numerical Software and Automatic Tuning of Heuristics
Self-Adapting Numerical Software (SANS) systems aim to bridge the knowledge gap that exists between the expertise of domain scientists, and the know-how that is needed to fulfill...
Jack Dongarra, Victor Eijkhout
CSMR
2009
IEEE
15 years 7 months ago
A Method for Choosing Software Assessment Measures Using Bayesian Networks and Diagnosis
Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, bu...
Ulrik Franke, Pontus Johnson, Robert Lagerströ...