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» Probabilistic Neural Network Models for Sequential Data
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NIPS
2007
13 years 9 months ago
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
In online handwriting recognition the trajectory of the pen is recorded during writing. Although the trajectory provides a compact and complete representation of the written outpu...
Alex Graves, Santiago Fernández, Marcus Liw...
VISUALIZATION
2005
IEEE
14 years 1 months ago
Opening the Black Box - Data Driven Visualization of Neural Network
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Fan-Yin Tzeng, Kwan-Liu Ma
ICANN
2009
Springer
14 years 2 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
IJCAI
1989
13 years 9 months ago
Beyond PDP: The Frequency Modulation Neural Network Architecture
This paper proposes the Frequency Modulation Neural Network as an alternative to current neuralnet models. This proposal is for an architecture of a heterogeneous neural-network i...
Hideto Tomabechi, Hiroaki Kitano
FLAIRS
2004
13 years 9 months ago
Highway Vehicle Classification by Probabilistic Neural Networks
The Federal Highway Administration (FHWA) Office of Highway Planning requires states to furnish vehicle classification data as part of the Highway Performance Monitoring Systems (...
Valerian Kwigizile, Majura F. Selekwa, Renatus N. ...