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» On Computing Functions with Uncertainty
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JCB
2002
70views more  JCB 2002»
13 years 8 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
JCSC
2002
129views more  JCSC 2002»
13 years 8 months ago
Leakage Current Reduction in VLSI Systems
There is a growing need to analyze and optimize the stand-by component of power in digital circuits designed for portable and battery-powered applications. Since these circuits re...
David Blaauw, Steven M. Martin, Trevor N. Mudge, K...
MST
2002
107views more  MST 2002»
13 years 8 months ago
A Comparison of Asymptotically Scalable Superscalar Processors
The poor scalability of existing superscalar processors has been of great concern to the computer engineering community. In particular, the critical-path lengths of many components...
Bradley C. Kuszmaul, Dana S. Henry, Gabriel H. Loh
NECO
1998
151views more  NECO 1998»
13 years 8 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
TIP
1998
128views more  TIP 1998»
13 years 8 months ago
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
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