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» Accurate power estimation for large sequential circuits
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CVPR
1999
IEEE
14 years 10 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
TIT
2008
141views more  TIT 2008»
13 years 7 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
UAI
2000
13 years 9 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
SIPS
2008
IEEE
14 years 2 months ago
Efficient mapping of advanced signal processing algorithms on multi-processor architectures
Modern microprocessor technology is migrating from simply increasing clock speeds on a single processor to placing multiple processors on a die to increase throughput and power pe...
Bhavana B. Manjunath, Aaron S. Williams, Chaitali ...
DAC
1994
ACM
14 years 1 days ago
Exact and Approximate Methods for Calculating Signal and Transition Probabilities in FSMs
In this paper, we consider the problem of calculating the signal and transition probabilities of the internal nodes of the combinational logic part of a nite state machine (FSM). ...
Chi-Ying Tsui, Massoud Pedram, Alvin M. Despain