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» Inference for Multiplicative Models
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94
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ISBI
2008
IEEE
16 years 1 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
NIPS
2004
15 years 2 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
99
Voted
CVPR
2006
IEEE
16 years 2 months ago
Shape Guided Object Segmentation
We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific an...
Eran Borenstein, Jitendra Malik
LREC
2010
166views Education» more  LREC 2010»
15 years 2 months ago
Learning Based Java for Rapid Development of NLP Systems
Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
Nick Rizzolo, Dan Roth
143
Voted
CVPR
2010
IEEE
1639views Computer Vision» more  CVPR 2010»
15 years 9 months ago
Multi-Target Tracking of Time-varying Spatial Patterns
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
Jingchen Liu, Yanxi Liu