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67
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ISCAS
2007
IEEE
80views Hardware» more  ISCAS 2007»
15 years 5 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 5 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
92
Voted
MM
2009
ACM
178views Multimedia» more  MM 2009»
15 years 3 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...
ICPR
2000
IEEE
15 years 3 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
ICLP
2010
Springer
15 years 2 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