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ICPR
2010
IEEE
13 years 8 months ago
Image Parsing with a Three-State Series Neural Network Classifier
We propose a three-state series neural network for effective propagation of context and uncertainty information for image parsing. The activation functions used in the proposed mod...
Seyed Mojtaba Seyedhosseini Tarzjani, Antonio Paiv...
JMLR
2010
143views more  JMLR 2010»
12 years 11 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
IJCNN
2007
IEEE
13 years 11 months ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz
ISNN
2010
Springer
13 years 9 months ago
Learning to Believe by Feeling: An Agent Model for an Emergent Effect of Feelings on Beliefs
An agent's beliefs usually depend on cognitive factors, but also affective factors may play a role. This paper presents an agent model that shows how such affective effects on...
Zulfiqar A. Memon, Jan Treur
BIOCOMP
2006
13 years 6 months ago
Reducing Harmful Effects Of Road Excitations On Human Health By Designing Car Active Suspension Systems
act Nowadays people are strongly dependent on cars for doing their tasks, but they usually are not aware of hazards which are awaiting them. For instance, since people travel with ...
Sara Sharifi Sedeh, Reza Sharifi Sedeh, Keivan Nav...