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ISCAS
2007
IEEE
80views Hardware» more  ISCAS 2007»
15 years 9 months ago
Probabilistic Modelling of Phase-tuned Disparity Energy Neuron Populations
- We present a low dimensional Bayes probabilistic model for the population of binocular disparity energy neurons centered at the same retinal location, but selective to different ...
Eric K. C. Tsang, Bertram Emil Shi
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 9 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
134
Voted
MM
2009
ACM
178views Multimedia» more  MM 2009»
15 years 8 months ago
Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models
The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem...
Sarah Favre, Alfred Dielmann, Alessandro Vinciarel...
ICLP
2010
Springer
15 years 6 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
JMLR
2010
111views more  JMLR 2010»
14 years 10 months 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,...