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» Modeling Uncertainty in Context-Aware Computing
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DAC
2000
ACM
14 years 10 months ago
GTX: the MARCO GSRC technology extrapolation system
Technology extrapolation -- the calibration and prediction of achievable design in future technology generations ? drives the evolution of VLSI system architectures, design method...
Andrew E. Caldwell, Yu Cao, Andrew B. Kahng, Farin...
SOFSEM
2007
Springer
14 years 3 months ago
Games, Time, and Probability: Graph Models for System Design and Analysis
Digital technology is increasingly deployed in safety-critical situations. This calls for systematic design and verification methodologies that can cope with three major sources o...
Thomas A. Henzinger
ICCV
2011
IEEE
12 years 9 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 4 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
CVPR
2010
IEEE
12 years 7 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu