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» On the Use of Evidence in Neural Networks
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KI
2007
Springer
15 years 8 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
ICIP
1998
IEEE
16 years 3 months ago
A Neural Network Approach for Reconstructing Surface Shape from Shading
In this work, a framework for the reconstruction of smooth surface shapes from shading images is presented. The method is based on using a backpropagationbased neural network for ...
Jezekiel Ben-Arie, Dibyendu Nandy
IJON
2006
91views more  IJON 2006»
15 years 1 months ago
Symmetry axis extraction by a neural network
This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural image...
Kunihiko Fukushima, Masayuki Kikuchi
NCA
2008
IEEE
15 years 1 months ago
A Bradley-Terry artificial neural network model for individual ratings in group competitions
A common statistical model for paired comparisons is the Bradley-Terry model. This research re-parameterizes the Bradley-Terry model as a single-layer artificial neural network (A...
Joshua E. Menke, Tony R. Martinez
IJCNN
2006
IEEE
15 years 8 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...