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SEMWEB
2009
Springer
14 years 2 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross trainingâ€...
Yefei Peng, Paul W. Munro, Ming Mao
ICIC
2007
Springer
14 years 2 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
CIMCA
2005
IEEE
14 years 1 months ago
Oscillatory neural network for adaptive dynamical image processing
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
Margarita Kuzmina, Edward A. Manykin
ICAI
2009
13 years 5 months ago
Learning Mappings with Neural Network
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
Yefei Peng, Paul W. Munro
ESANN
2006
13 years 9 months ago
Topological Correlation
Quantifying the success of the topographic preservation achieved with a neural map is difficult. In this paper we present Topological Correlation, Tc, a method that assesses the de...
Kevin Doherty, Rod Adams, Neil Davey