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IJCNN
2006
IEEE
14 years 2 months ago
Modeling Cortical Maps with Feed-Backs
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
Thierry Viéville, Pierre Kornprobst
JMLR
2006
104views more  JMLR 2006»
13 years 8 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
ICANN
2005
Springer
14 years 2 months ago
On Variations of Power Iteration
The power iteration is a classical method for computing the eigenvector associated with the largest eigenvalue of a matrix. The subspace iteration is an extension of the power iter...
Seungjin Choi
EAAI
2006
98views more  EAAI 2006»
13 years 8 months ago
Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...
NCA
2007
IEEE
13 years 8 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan