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TSP
2010
14 years 10 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
121
Voted
SARA
2009
Springer
15 years 10 months ago
Common Subexpressions in Constraint Models of Planning Problems
Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...
Andrea Rendl, Ian Miguel, Ian P. Gent, Peter Grego...
ISCAS
2007
IEEE
173views Hardware» more  ISCAS 2007»
15 years 9 months ago
Critical Charge Characterization for Soft Error Rate Modeling in 90nm SRAM
— Due to continuous technology scaling, the reduction of nodal capacitances and the lowering of power supply voltages result in an ever decreasing minimal charge capable of upset...
Riaz Naseer, Younes Boulghassoul, Jeff Draper, San...
73
Voted
INFOCOM
2006
IEEE
15 years 9 months ago
Constant-Complexity Models for Wireless Channels
— High-order full-state Markov (FSM) chains have been employed to model errors and losses in many wireless studies. The complexity of this modeling paradigm is an exponential fun...
Syed A. Khayam, Hayder Radha
ASPDAC
2008
ACM
134views Hardware» more  ASPDAC 2008»
15 years 5 months ago
Automatic re-coding of reference code into structured and analyzable SoC models
The quality of the input system model has a direct bearing on the effectiveness of the system exploration and synthesis tools. Given a well-structured system model, tools today are...
Pramod Chandraiah, Rainer Dömer