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DAC
2011
ACM
12 years 10 months ago
Characterizing within-die and die-to-die delay variations introduced by process variations and SOI history effect
Variations in delay caused by within-die and die-to-die process variations and SOI history effect increase timing margins and reduce performance. In order to develop mitigation te...
Jim Aarestad, Charles Lamech, Jim Plusquellic, Dhr...
AAAI
1996
13 years 11 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
DEDS
2007
104views more  DEDS 2007»
13 years 10 months ago
Trellis Processes : A Compact Representation for Runs of Concurrent Systems
The unfolding of a concurrent system represents in a compact manner all possible runs of this system. Unfoldings are used in many applications, ranging from model-checking (offlin...
Eric Fabre
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
14 years 4 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
PAMI
1998
85views more  PAMI 1998»
13 years 10 months ago
Shape Evolution With Structural and Topological Changes Using Blending
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Douglas DeCarlo, Dimitris N. Metaxas