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ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
13 years 11 months ago
A fast Monte Carlo algorithm for collision probability estimation
—In order to navigate safely, it is important to detect and to react to a potentially dangerous situation. Such a situation can be underlined by a judicious use of the locations ...
Alain Lambert, Dominique Gruyer, Guillaume Saint-P...
VMV
2001
108views Visualization» more  VMV 2001»
13 years 6 months ago
A Theoretical Comparison of Monte Carlo Radiosity Algorithms
In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
Philippe Bekaert, Hans-Peter Seidel
VTS
2006
IEEE
122views Hardware» more  VTS 2006»
13 years 11 months ago
Early, Accurate and Fast Yield Estimation through Monte Carlo-Alternative Probabilistic Behavioral Analog System Simulations
Monte Carlo analysis has so far been the corner stone for analog statistical simulations. Fast and accurate simulations are necessary for stringent time-to-market, design for manu...
Rasit Onur Topaloglu
ISPD
2012
ACM
248views Hardware» more  ISPD 2012»
12 years 13 days ago
A fast estimation of SRAM failure rate using probability collectives
Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...
Fang Gong, Sina Basir-Kazeruni, Lara Dolecek, Lei ...
NIPS
2008
13 years 6 months ago
Evaluating probabilities under high-dimensional latent variable models
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
Iain Murray, Ruslan Salakhutdinov