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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 9 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
UAI
2004
13 years 7 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
SIGSOFT
2007
ACM
14 years 6 months ago
State space exploration using feedback constraint generation and Monte-Carlo sampling
The systematic exploration of the space of all the behaviours of a software system forms the basis of numerous approaches to verification. However, existing approaches face many c...
Sriram Sankaranarayanan, Richard M. Chang, Guofei ...
ACCV
2006
Springer
13 years 11 months ago
Object Detection Using a Cascade of 3D Models
Abstract. We present an alignment framework for object detection using a hierarchy of 3D polygonal models. One difficulty with alignment methods is that the high-dimensional transf...
Hon-Keat Pong, Tat-Jen Cham
FGCS
2006
83views more  FGCS 2006»
13 years 5 months ago
Memory-efficient Kronecker algorithms with applications to the modelling of parallel systems
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
Anne Benoit, Brigitte Plateau, William J. Stewart