Previous |  Up |  Next

Article

Title: Probability distribution of transformed random variables with application to nonlinear features extraction (English)
Author: Soukup, Lubomír
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 34
Issue: 4
Year: 1998
Pages: [473]-478
Summary lang: English
.
Category: math
.
Summary: A method for estimation of probability distribution of transformed random variables is presented. The proposed approach admits an approximation of the transformation of the random variables. The approximate probability density function (pdf) is corrected to obtain a resulting pdf which incorporates a prior knowledge of approximation errors. The corrected pdf is not contaminated by any uncontrollable approximation. The method is applied to pattern recognition. It is shown that class conditional pdf of features can be easily computed even when the feature extraction was performed with nonlinear mapping of an input pattern. (English)
Keyword: probability density functions
Keyword: estimation
MSC: 62E15
MSC: 62F10
MSC: 62G05
MSC: 62H12
MSC: 65C60
MSC: 68T10
idZBL: Zbl 1274.62377
idMR: MR1658929
.
Date available: 2009-09-24T19:19:28Z
Last updated: 2015-03-28
Stable URL: http://hdl.handle.net/10338.dmlcz/135234
.
Reference: [1] Kittler J.: Statistics and Images: 2.(K. V. Mardia, ed.), volume 2 of Advances in Applied Statistics, chapter Statistical pattern recognition in image analysis. Carfax Publishing Company, 1994
Reference: [2] Mařík R., Kittler J., Petrou M.: Error sensitivity assesment of vision algorithms based on direct error–propagation.In: Workshop on Performance Characteristics of Vision Algorithms (H. I. Christensen, W. Forstner, and C. B. Madsen, eds.), Cambridge 1996, pp. 45–58
Reference: [3] Soukup L.: Probability Distribution of an Approximated Function with Uncertain Argument.Research Report No. 1877, Institute of Information Theory and Automation, Prague 1996
Reference: [4] Soukup L.: Probability distribution of approximation.In: The 2nd European Workshop on Computer–Intensive Methods in Control and Signal Processing (L. Berec, J. Rojíček and M. Kárný, eds.), Institute of Information Theory and Automation, Prague 1996, pp. 141–144
.

Files

Files Size Format View
Kybernetika_34-1998-4_20.pdf 891.2Kb application/pdf View/Open
Back to standard record
Partner of
EuDML logo