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» Building a Stochastic Dynamic Model of Application Use
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147
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CPAIOR
2008
Springer
15 years 4 months ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck
128
Voted
NIPS
1998
15 years 4 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
135
Voted
ICCV
1999
IEEE
16 years 4 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
135
Voted
WACV
2002
IEEE
15 years 7 months ago
Automatic Pose Estimation of Complex 3D Building Models
3D models of urban sites with geometry and facade textures are needed for many planning and visualization applications. Approximate 3D wireframe model can be derived from aerial i...
Sung Chun Lee, Soon Ki Jung, Ramakant Nevatia
122
Voted
TOCS
2008
131views more  TOCS 2008»
15 years 2 months ago
A generic component model for building systems software
Component-based software structuring principles are now commonly and successfully applied at the application level; but componentisation is far less established when it comes to b...
Geoff Coulson, Gordon S. Blair, Paul Grace, Fran&c...