DocumentCode
2292724
Title
Partitioned mixture distributions: a first order perturbation analysis
Author
Luttrell, S.P.
Author_Institution
Defence Res. Agency, Malvern, UK
fYear
1997
fDate
7-9 Jul 1997
Firstpage
280
Lastpage
284
Abstract
A perturbation analysis is used to linearise the theory of partitioned mixture distribution (PMD) encoder/decoder networks, which allows many connections to be made with previous results. For instance, the difference of Gaussians (DOG) filtering operation commonly used in image processing emerges very naturally, and the dependence of the wavelength of dominance stripes in a visual cortex network (VICON) may then be derived
Keywords
image processing; decoder networks; difference of Gaussians filtering operation; dominance stripes; encoder networks; first order perturbation analysis; image processing; partitioned mixture distributions; visual cortex network;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440)
Conference_Location
Cambridge
ISSN
0537-9989
Print_ISBN
0-85296-690-3
Type
conf
DOI
10.1049/cp:19970740
Filename
607531
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