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ICCV
1998
IEEE
14 years 11 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
IVA
2005
Springer
14 years 2 months ago
Autonomous Virtual Agents Learning a Cognitive Model and Evolving
In this paper, we propose a new integration approach to simulate an Autonomous Virtual Agent's cognitive learning of a task for interactive Virtual Environment applications. O...
Toni Conde, Daniel Thalmann
IJMMS
2002
108views more  IJMMS 2002»
13 years 8 months ago
Modelling multiple mind-matter interaction
Relations between mental and physical aspects of an agent can be of various types. Sensing and acting are among the more commonly modelled types. In agent modelling approaches ofte...
Catholijn M. Jonker, Jan Treur
INFOCOM
2009
IEEE
14 years 3 months ago
LayerP2P: A New Data Scheduling Approach for Layered Streaming in Heterogeneous Networks
—Although layered streaming in heterogeneous peer-to-peer networks has drawn great interest in recent years, there’s still a lack of systematical studies on its data scheduling...
Xin Xiao, Yuanchun Shi, Yuan Gao, Qian Zhang
TSP
2010
13 years 3 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic