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» Evaluating Statistical Power Optimization
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DCC
2009
IEEE
14 years 8 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
VLSID
2008
IEEE
166views VLSI» more  VLSID 2008»
14 years 8 months ago
Exploring the Processor and ISA Design for Wireless Sensor Network Applications
Power consumption, physical size, and architecture design of sensor node processors have been the focus of sensor network research in the architecture community. What lies at the ...
Shashidhar Mysore, Banit Agrawal, Frederic T. Chon...
HPCA
2006
IEEE
14 years 7 months ago
Reducing resource redundancy for concurrent error detection techniques in high performance microprocessors
With reducing feature size, increasing chip capacity, and increasing clock speed, microprocessors are becoming increasingly susceptible to transient (soft) errors. Redundant multi...
Sumeet Kumar, Aneesh Aggarwal
RECOMB
2002
Springer
14 years 7 months ago
Inferring Piecewise Ancestral History from Haploid Sequences
There has been considerable recent interest in the use of haplotype structure to aid in the design and analysis of case-control association studies searching for genetic predictors...
Russell Schwartz, Andrew G. Clark, Sorin Istrail
MOBISYS
2007
ACM
14 years 7 months ago
Improving mobile database access over wide-area networks without degrading consistency
We report on the design, implementation, and evaluation of a system called Cedar that enables mobile database access with good performance over low-bandwidth networks. This is acc...
Niraj Tolia, Mahadev Satyanarayanan, Adam Wolbach