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ICML
2006
IEEE
16 years 5 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
15 years 9 months ago
Total Variation Processing of Images with Poisson Statistics
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Alex Sawatzky, Christoph Brune, Jahn Müller, ...
JMLR
2010
184views more  JMLR 2010»
14 years 11 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
15 years 10 months ago
Wavelet-based estimation of long-range dependence in MPEG video traces
Abstract— Correct and efficient estimation of the Hurst parameter of long-range dependent (LRD) video traces is important in traffic analysis. The low computational cost and th...
Nikola Cackov, Zelimir Lucic, Momcilo Bogdanov, Lj...
CPAIOR
2004
Springer
15 years 10 months ago
A New Exact Solution Algorithm for the Job Shop Problem with Sequence-Dependent Setup Times
Abstract. We propose a new solution approach for the Job Shop Problem with Sequence Dependent Setup Times (SDST-JSP). The problem consists in scheduling jobs, each job being a set ...
Christian Artigues, Sana Belmokhtar, Dominique Fei...