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» Comparing the Bayes and Typicalness Frameworks
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IPPS
2009
IEEE
14 years 2 months ago
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters
The use of asymmetric multi-core processors with onchip computational accelerators is becoming common in a variety of environments ranging from scientific computing to enterprise...
M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, ...
CIKM
2006
Springer
13 years 11 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
ISLPED
2010
ACM
183views Hardware» more  ISLPED 2010»
13 years 7 months ago
A pareto-algebraic framework for signal power optimization in global routing
This paper proposes a framework for (signal) interconnect power optimization at the global routing stage. In a typical design flow, the primary objective of global routing is mini...
Hamid Shojaei, Tai-Hsuan Wu, Azadeh Davoodi, Twan ...
CVPR
2009
IEEE
15 years 2 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
MSWIM
2009
ACM
14 years 2 months ago
A performance evaluation framework for fair solutions in ad hoc networks
Fairness in multihop ad hoc networks has received considerable attention in the literature. Many schemes have been proposed, which attempt to compute the “optimal” bit rates o...
Manos Dramitinos, Rémi Vannier, Isabelle Gu...