DATA GRAPHS PROCESSING USING ADAPTIVE MODELS AND ITS APPLICATION IN IMAGE PROCESSING

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REZAEI Z.

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Journal: Journal of Operational Research in its Applications Year:2007 | Volume:4 | Issue:14 Page(s): 29-40

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Information Journal Paper

Title

DATA GRAPHS PROCESSING USING ADAPTIVE MODELS AND ITS APPLICATION IN IMAGE PROCESSING

Author(s)

REZAEI Z. | Issue Writer Certificate

Keywords

RECURSIVE NEURAL NETWORKSQ4

PROCESSING GRAPHSQ4

WEIGHT SHARING METHODQ4

OBJECT RECOGNITIONQ4

Abstract

RECURSIVE NEURAL NETWORKS are one of the adoptive models that suited for PROCESSING GRAPHS. Originally RECURSIVE NEURAL NETWORKS are proposed to processing DAOGs in which the children of any given node are ordered. This assumption is unnecessary constraints. In this paper the WEIGHT SHARING METHOD that can relax the constraint on the ordering of children in graph processing is introduced. Also a new model of RECURSIVE NEURAL NETWORKS to process DAG-LE is introduced. Both methods guarantee the independence of the network output with respect to the permutations of the arcs leaving from each node. In continuation an OBJECT RECOGNITION based on the last recursive model is presented. This method dose not include any priori knowledge on the object model and it is invariant under image translation and rotation.

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APA: Copy

REZAEI, Z.. (2007). DATA GRAPHS PROCESSING USING ADAPTIVE MODELS AND ITS APPLICATION IN IMAGE PROCESSING. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 4(14), 29-40. SID. https://sid.ir/paper/164566/en

Vancouver: Copy

REZAEI Z.. DATA GRAPHS PROCESSING USING ADAPTIVE MODELS AND ITS APPLICATION IN IMAGE PROCESSING. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2007;4(14):29-40. Available from: https://sid.ir/paper/164566/en

IEEE: Copy

Z. REZAEI, “DATA GRAPHS PROCESSING USING ADAPTIVE MODELS AND ITS APPLICATION IN IMAGE PROCESSING,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 4, no. 14, pp. 29–40, 2007, [Online]. Available: https://sid.ir/paper/164566/en

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