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» Inference in Bayesian Networks
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EMNLP
2009
15 years 2 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li
INTERSPEECH
2010
14 years 11 months ago
Using a DBN to integrate sparse classification and GMM-based ASR
The performance of an HMM-based speech recognizer using MFCCs as input is known to degrade dramatically in noisy conditions. Recently, an exemplar-based noise robust ASR approach,...
Yang Sun, Jort F. Gemmeke, Bert Cranen, Louis ten ...
TOG
2010
157views more  TOG 2010»
14 years 11 months ago
Computer-generated residential building layouts
We present a method for automated generation of building layouts for computer graphics applications. Our approach is motivated by the layout design process developed in architectu...
Paul Merrell, Eric Schkufza, Vladlen Koltun
165
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Gaussian mixture modeling for source localization
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
John T. Flåm, Joakim Jalden, Saikat Chatterj...
130
Voted
KES
2004
Springer
15 years 10 months ago
Commonsense Reasoning in and Over Natural Language
ConceptNet is a very large semantic network of commonsense knowledge suitable for making various kinds of practical inferences over text. ConceptNet captures a wide range of common...
Hugo Liu, Push Singh