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» Integrating Semantic Annotations in Bayesian Causal Models
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DLOG
2007
13 years 7 months ago
Integrating Semantic Annotations in Bayesian Causal Models
Hector G. Ceballos, Francisco J. Cantú Orti...
LREC
2010
179views Education» more  LREC 2010»
13 years 6 months ago
Building a Bank of Semantically Encoded Narratives
We propose a methodology for a novel type of discourse annotation whose model is tuned to the analysis of a text as narrative. This is intended to be the basis of a "story ba...
David K. Elson, Kathleen McKeown
ICPR
2008
IEEE
14 years 6 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
NIPS
2007
13 years 6 months ago
Comparing Bayesian models for multisensory cue combination without mandatory integration
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...
Ulrik Beierholm, Konrad P. Körding, Ladan Sha...
JVCIR
2010
147views more  JVCIR 2010»
13 years 3 months ago
Modeling, classifying and annotating weakly annotated images using Bayesian network
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
Sabine Barrat, Salvatore Tabbone