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FLAIRS
2001
15 years 7 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
IJON
2006
54views more  IJON 2006»
15 years 6 months ago
Self-organization of hierarchical visual maps with feedback connections
Visual areas in primates are known to have reciprocal connections. While the feedforward bottom-up processing of visual information has been studied extensively for decades, littl...
Yiu-Fai Sit, Risto Miikkulainen
ENTCS
2007
107views more  ENTCS 2007»
15 years 6 months ago
Modeling Environment for Component Model Checking from Hierarchical Architecture
Application of model checking to isolated software components is not directly possible because a component does not form a complete program - the problem of missing environment oc...
Pavel Parizek, Frantisek Plasil
COLING
2002
15 years 6 months ago
Hierarchical Orderings of Textual Units
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
Alexander Mehler