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ICIP
2000
IEEE
15 years 10 days ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
ICML
2009
IEEE
14 years 11 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
ISBI
2007
IEEE
14 years 5 months ago
Inverse Biomedical Imaging Using Separately Adapted Meshes for Parameters and Forward Model Variables
Many important existing and upcoming biomedical imaging modalities lead to nonlinear relationships between state variables from which measurements result and the tissue properties...
Wolfgang Bangerth, Amit Joshi, Eva M. Sevick-Murac...
ICANN
2007
Springer
14 years 4 months ago
Separation and Recognition of Multiple Sound Source Using Pulsed Neuron Model
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kin...
Kaname Iwasa, Hideaki Inoue, Mauricio Kugler, Susu...
CEC
2005
IEEE
14 years 4 months ago
The emergence of cooperation among agents using simple fixed bias tagging
AbstractThe principle of cooperation influences our everyday lives. This conflict between individual and collective rationality can be modelled through the use of social dilemmas...
Enda Howley, Colm O'Riordan