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» Recognition of Properties by Probabilistic Neural Networks
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ICANN
2009
Springer
13 years 11 months ago
Recognition of Properties by Probabilistic Neural Networks
The statistical pattern recognition based on Bayes formula implies the concept of mutually exclusive classes. This assumption is not applicable when we have to identify some non-ex...
Jiri Grim, Jan Hora
ICANN
2010
Springer
13 years 5 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
FLAIRS
2000
13 years 6 months ago
Comparing Performance of Neural Networks Applied to a Simplified Recognition Problem
In this note we present and discuss results of experiments comparing the performance of six neural network architectures (back propagation, recurrent network with dampened feedbac...
Marcin Paprzycki, Rick Niess, Jason Thomas, Lenny ...
SSPR
1998
Springer
13 years 9 months ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
ICIP
2004
IEEE
14 years 6 months ago
Online face recognition system for videos based on modified probabilistic neural networks
Video retrieval in consumer applications demands high level semantic descriptors such as people's identity. The problem is that in a variety of videos such as home videos, Ho...
Jun Fan, Nevenka Dimitrova, Vasanth Philomin