161 search results - page 12 / 33 » Learning to Map Ontologies with Neural Network |
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
KES
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. A new approach is proposed to recover the relative magnitude of Gaussian curvature from three shading images using neural network. Under the assumption that the test obje...
ICDAR
1999
IEEE
13 years 11 months ago
1999
IEEE
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
Results of neural network learning are always subject to some variability, due to the sensitivity to initial conditions, to convergence to local minima, and, sometimes more dramat...