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» Computing stable models: worst-case performance estimates
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SAC
2008
ACM
13 years 7 months ago
Particle methods for maximum likelihood estimation in latent variable models
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
Adam M. Johansen, Arnaud Doucet, Manuel Davy
VLSISP
2008
134views more  VLSISP 2008»
13 years 7 months ago
Calibration of Abstract Performance Models for System-Level Design Space Exploration
ion of Abstract Performance Models for System-Level Design Space Exploration ANDY D. PIMENTEL, MARK THOMPSON, SIMON POLSTRA AND CAGKAN ERBAS Computer Systems Architecture Group, In...
Andy D. Pimentel, Mark Thompson, Simon Polstra, Ca...
IPPS
2006
IEEE
14 years 1 months ago
A high level SoC power estimation based on IP modeling
Current electronic system design requires to be concerned with power consumption consideration. However, in a lot of design tools, the application power consumption budget is esti...
David Elléouet, Nathalie Julien, Dominique ...
IPTPS
2005
Springer
14 years 1 months ago
Peering Peer-to-Peer Providers
The early peer-to-peer applications eschewed commercial arrangements and instead established a grass-roots model in which the collection of end-users provided their own distribute...
Hari Balakrishnan, Scott Shenker, Michael Walfish
GI
2007
Springer
14 years 1 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell