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NECO
2010
103views more  NECO 2010»
13 years 16 days ago
Population Models of Temporal Differentiation
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
Bryan P. Tripp, Chris Eliasmith
NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 4 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
COMSWARE
2007
IEEE
14 years 4 days ago
Competition between SOM Clusters to Model User Authentication System in Computer Networks
—Traditional authentication systems employed on Internet are facing an acute problem of intrusions. In this context we propose a neural architecture for user authentication throu...
Shrijit S. Joshi, Vir V. Phoha
PR
2007
151views more  PR 2007»
13 years 5 months ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson
ICDAR
2009
IEEE
13 years 3 months ago
Towards Handwritten Mathematical Expression Recognition
In this paper, we propose a new framework for online handwritten mathematical expression recognition. The proposed architecture aims at handling mathematical expression recognitio...
Ahmad-Montaser Awal, Harold Mouchère, Chris...