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» An Energy Backpropagation Algorithm
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132
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CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 3 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany
119
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IJES
2007
79views more  IJES 2007»
15 years 3 months ago
Energy-aware compilation and hardware design for VLIW embedded systems
Abstract: Tomorrow’s embedded devices need to run high-resolution multimedia applications which need an enormous computational complexity with a very low energy consumption const...
José L. Ayala, Marisa López-Vallejo,...
143
Voted
CVPR
2008
IEEE
16 years 5 months ago
Reduce, reuse & recycle: Efficiently solving multi-label MRFs
In this paper, we present novel techniques that improve the computational and memory efficiency of algorithms for solving multi-label energy functions arising from discrete MRFs o...
Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr
121
Voted
CASES
2003
ACM
15 years 8 months ago
A control-theoretic approach to dynamic voltage scheduling
The development of energy-conscious embedded and/or mobile systems exposes a trade-off between energy consumption and system performance. Recent microprocessors have incorporated ...
Ankush Varma, Brinda Ganesh, Mainak Sen, Suchismit...
129
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SAC
2009
ACM
15 years 10 months ago
DARAW: a new write buffer to improve parallel I/O energy-efficiency
In the past decades, parallel I/O systems have been used widely to support scientific and commercial applications. New data centers today employ huge quantities of I/O systems, wh...
Xiaojun Ruan, Adam Manzanares, Kiranmai Bellam, Xi...