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IJPRAI
2002
97views more  IJPRAI 2002»
15 years 4 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
IJCNN
2006
IEEE
15 years 10 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
ESOA
2006
15 years 8 months ago
Design Patterns for Decentralised Coordination in Self-organising Emergent Systems
There is little or no guidance to systematically design a self-organising emergent solution that achieves the desired macroscopic behaviour. This paper describes decentralised coor...
Tom De Wolf, Tom Holvoet
ECAL
2007
Springer
15 years 10 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão
PRL
1998
93views more  PRL 1998»
15 years 4 months ago
A connectionist method for pattern classification with diverse features
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
Ke Chen 0001