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Elsevier
Electronic Notes in Theoretical Computer Science
,  volume 46 ,  pages 161-176

Image Representation using Distributed Weighted Finite Automata

Publication type: Journal Article
Publication date: 2001-08-01
Elsevier
SJR: —
CiteScore: —
Impact factor: —
ISSN: 15710661
Theoretical Computer Science
General Computer Science
Abstract
Weighted finite automata (WFA) define real functions, in particular, grayness functions of graytone images. Inference algorithm that converts an arbitrary function (graytone image) into a WFA that can regenerate it is given in [7]. In this paper we define the theoretical construct of Cooperating Distributed Weighted Finite Automata with n -components ( n -WFA) and study the power of this construct in various modes of acceptance. We give an inference algorithm and the de-inference algorithm for the n -WFA.
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Sivasubramanyam Y., Krithivasan K. Image Representation using Distributed Weighted Finite Automata // Electronic Notes in Theoretical Computer Science. 2001. Vol. 46. pp. 161-176.
GOST all authors (up to 50) Copy
Sivasubramanyam Y., Krithivasan K. Image Representation using Distributed Weighted Finite Automata // Electronic Notes in Theoretical Computer Science. 2001. Vol. 46. pp. 161-176.
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TY - JOUR
DO - 10.1016/s1571-0661(04)80984-8
UR - https://doi.org/10.1016/s1571-0661(04)80984-8
TI - Image Representation using Distributed Weighted Finite Automata
T2 - Electronic Notes in Theoretical Computer Science
AU - Sivasubramanyam, Y.
AU - Krithivasan, Kamala
PY - 2001
DA - 2001/08/01
PB - Elsevier
SP - 161-176
VL - 46
SN - 1571-0661
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2001_Sivasubramanyam,
author = {Y. Sivasubramanyam and Kamala Krithivasan},
title = {Image Representation using Distributed Weighted Finite Automata},
journal = {Electronic Notes in Theoretical Computer Science},
year = {2001},
volume = {46},
publisher = {Elsevier},
month = {aug},
url = {https://doi.org/10.1016/s1571-0661(04)80984-8},
pages = {161--176},
doi = {10.1016/s1571-0661(04)80984-8}
}