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ICCAD
2005
IEEE
132views Hardware» more  ICCAD 2005»
14 years 1 months ago
Battery optimization vs energy optimization: which to choose and when?
— Batteries are non-ideal energy sources – minimizing the energy consumption of a battery-powered system is not equivalent to maximizing its battery life. We propose an alterna...
Ravishankar Rao, Sarma B. K. Vrudhula
TSP
2008
151views more  TSP 2008»
13 years 8 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
MICRO
2000
IEEE
107views Hardware» more  MICRO 2000»
13 years 12 months ago
Register integration: a simple and efficient implementation of squash reuse
Register integration (or simply integration) is a mechanism for incorporating speculative results directly into a sequential execution using data-dependence relationships. In this...
Amir Roth, Gurindar S. Sohi
TIP
2008
126views more  TIP 2008»
13 years 8 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld
SIGGRAPH
1996
ACM
14 years 13 days ago
Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach
We present a new approach for modeling and rendering existing architectural scenes from a sparse set of still photographs. Our modeling approach, which combines both geometry-base...
Paul E. Debevec, Camillo J. Taylor, Jitendra Malik