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» Input Modeling Using Quantile Statistical Methods
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ISCA
2007
IEEE
146views Hardware» more  ISCA 2007»
14 years 3 months ago
Automated design of application specific superscalar processors: an analytical approach
Analytical modeling is applied to the automated design of application-specific superscalar processors. Using an analytical method bridges the gap between the size of the design sp...
Tejas Karkhanis, James E. Smith
ISVLSI
2005
IEEE
101views VLSI» more  ISVLSI 2005»
14 years 2 months ago
eWatch: Context Sensitive System Design Case Study
In this paper, we introduce a novel context sensitive system design paradigm. Multiple sensors/ computational architecture, in the form of our eWatch device, is used to infer the ...
Asim Smailagic, Daniel P. Siewiorek, Uwe Maurer, A...
FOCS
1998
IEEE
14 years 1 months ago
Quantum Lower Bounds by Polynomials
We examine the number T of queries that a quantum network requires to compute several Boolean functions on f0;1gN in the black-box model. We show that, in the blackbox model, the ...
Robert Beals, Harry Buhrman, Richard Cleve, Michel...
AMT
2010
Springer
302views Multimedia» more  AMT 2010»
13 years 10 months ago
Social Relation Based Search Refinement: Let Your Friends Help You!
One of the major problems for search at Web scale is that the search results on the large scale data might be huge and the users have to browse to find the most relevant ones. Plus...
Xu Ren, Yi Zeng, Yulin Qin, Ning Zhong, Zhisheng H...
CVPR
2010
IEEE
13 years 9 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...