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» On Generalization by Neural Networks
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ESANN
2004
15 years 8 months ago
Face Recognition Using Recurrent High-Order Associative Memories
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Iulian B. Ciocoiu
238
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DAGSTUHL
2009
15 years 8 months ago
Median Topographic Maps for Biomedical Data Sets
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
TAAS
2008
70views more  TAAS 2008»
15 years 6 months ago
A general characterization of indulgence
characterization of indulgence in an abstract computing model that encompasses various communication and resilience schemes. We use our characterization to establish several result...
Rachid Guerraoui, Nancy A. Lynch
SGAI
2005
Springer
16 years 10 days ago
A Camera-Direction Dependent Visual-Motor Coordinate Transformation for a Visually Guided Neural Robot
Objects of interest are represented in the brain simultaneously in different frames of reference. Knowing the positions of one’s head and eyes, for example, one can compute the...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
ESANN
2003
15 years 8 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre