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» Randomness, Stochasticity and Approximations
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JMLR
2010
111views more  JMLR 2010»
15 years 28 days ago
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato,...
168
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TIP
2010
137views more  TIP 2010»
15 years 26 days ago
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps
We propose to model the image differentials of astrophysical source maps by Student's t-distribution and to use them in the Bayesian source separation method as priors. We int...
Koray Kayabol, Ercan E. Kuruoglu, José Luis...
ICASSP
2011
IEEE
14 years 10 months ago
Design of robust steerable broadband beamformers incorporating microphone gain and phase error characteristics
Beamformers are known to be sensitive to errors and mismatches in their array elements. This paper proposes a robust steerable broadband beamformer design using the Farrow structu...
Chiong-Ching Lai, Sven Nordholm, Yee-Hong Leung
ECCV
2002
Springer
16 years 8 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
ACL
1994
15 years 7 months ago
Optimizing the Computational Lexicalization of Large Grammars
The computational lexicalization of a grammar is the optimization of the links between lexicalized rules and lexical items in order to improve the quality of the bottom-up filteri...
Christian Jacquemin