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Membership Problem with Adjacency Matrix

Computación y Sistemas, 2021
In this article, proposed a algorithm to solve the membership problem in Hyperedge Replacement Grammars (HRG). Given a hypergraph H with labeled nodes rooted and directed hyperedges, the problem consists in determining if H 2 L(G), where G is in HRG, this is to say, if H is in the language generated by G, for this the analysis is done directly in the ...
Yolanda Moyao Martinez   +3 more
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The anti-adjacency matrix of a graph: Eccentricity matrix

Discrete Applied Mathematics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Jianfeng   +3 more
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Optical Adjacency Matrix Associative Processor

SPIE Proceedings, 1990
A new bidirectional optical associative processor is described for searching a hierarchical database that is stored as an adjacency matrix. The paper discusses how the processor can answer relatively complex queries on a knowledge base when the queries are formulated as combinations of set closures, unions, intersections, and complementations.
David Casasent, Brian Telfer
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Arc Adjacency Matrix-Based Fast Ellipse Detection

IEEE Transactions on Image Processing, 2020
Fast and accurate ellipse detection is critical in certain computer vision tasks. In this paper, we propose an arc adjacency matrix-based ellipse detection (AAMED) method to fulfill this requirement. At first, after segmenting the edges into elliptic arcs, the digraph-based arc adjacency matrix (AAM) is constructed to describe their triple sequential ...
Cai Meng   +3 more
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A Compact Form of the Adjacency Matrix

Journal of Chemical Information and Computer Sciences, 2000
It has been shown that the adjacency matrix can be transformed into a row vector and then into a single number. This number can again be decoded to recover the row vector, and this in turn can be decoded to restore the original adjacency matrix. A special, rather efficient coding scheme was devised for acyclic structures.
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Data Clustering by Scaled Adjacency Matrix

2011
Similarity based clustering, which is to find the extrinsic clusters in data by taking as input a collection of real-valued similarities between data points, has been playing an important role in data analysis and engineering. Lots of work had been done in this field.
Jian Yu, Caiyan Jia
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Adjacency Matrix for Hypergraphs

2022
Sergey N. Dorogovtsev   +1 more
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ADJACENCY MATRIX OF SIGNED SEMIGRAPHS

Advances and Applications in Discrete Mathematics, 2021
Surajit Kr. Nath, Ardhendu Kumar Nandi
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Digital Filters Using Adjacency Matrix Representation

2008
An evolutionary algorithm able to synthesize low-sensitivity digital filters using a chromosome coding scheme based on the adjacency matrix is proposed. It is shown that the proposed representation is more flexible than GP-tree schemes and has a higher search space dimension.
Leonardo Sá, Antonio Mesquita
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Accelerating Graph Adjacency Matrix Multiplications with Adjacency Forest

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Masaaki Nishino   +3 more
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