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» Handwritten Digit Recognition: A Neural Network Demo
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NIPS
2001
13 years 10 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
ISCAS
2003
IEEE
148views Hardware» more  ISCAS 2003»
14 years 1 months ago
Hybrid neural network architecture for age identification of ancient Kannada scripts
Wide research has been carried out and is still taking place in the field of character recognition of handwritten English characters. Recognizing English characters is much simple...
Harish K. Kashyap, Bansilal, P. Arun Koushik
IVC
2008
101views more  IVC 2008»
13 years 8 months ago
A system for processing handwritten bank checks automatically
In the US and many other countries, bank checks are preprinted with the account number and the check number in MICR ink and format; as such, these two numeric fields can be easily...
Rafael Palacios, Amar Gupta
NIPS
1997
13 years 10 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ICANN
2010
Springer
13 years 9 months ago
Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots
Abstract. In this article we exploit the discrete-time dynamics of a single neuron with self-connection to systematically design simple signal filters. Due to hysteresis effects an...
Poramate Manoonpong, Frank Pasemann, Christoph Kol...