Results 11 to 20 of about 123,753 (267)
Efficient Algorithms for Subgraph Listing
Algorithms, 2014 Subgraph isomorphism is a fundamental problem in graph theory. In this paper we focus on listing subgraphs isomorphic to a given pattern graph. First, we look at the algorithm due to Chiba and Nishizeki for listing complete subgraphs of fixed size, and ...
Niklas Zechner, Andrzej Lingas
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Competing output-sensitive frame algorithms
Computational Geometry, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dulá, J.H., López, F.J.
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HSMD: An Object Motion Detection Algorithm Using a Hybrid Spiking Neural Network Architecture
IEEE Access, 2021 The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task. Object-motion-sensitive ganglion cells (OMS-GC) are specialised cells in the retina that sense moving objects.
Pedro Machado +3 more
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Output-Sensitive Algorithms for Sumset and Sparse Polynomial Multiplication [PDF]
Proceedings of the 2015 ACM International Symposium on Symbolic and Algebraic Computation, 2015 Submitted to ISSAC ...
Arnold, Andrew, Roche, Daniel S.
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Distribution-sensitive set multi-partitioning [PDF]
Discrete Mathematics & Theoretical Computer Science, 2005 Given a set $\mathcal{S}$ with real-valued members, associated with each member one of two possible types; a multi-partitioning of $\mathcal{S}$ is a sequence of the members of $\mathcal{S}$ such that if $x,y \in \mathcal{S}$ have different types and $x <
Amr Elmasry
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Sensors, 2023 To better solve the problem of thermal error of computerized numerical control machining equipment (CNCME), a thermal error prediction model based on the sparrow search algorithm and long short-term memory neural network (SSA-LSTMNN) is proposed. Firstly,
Ying Gao, Xiaojun Xia, Yinrui Guo
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A Novel Framework Using Deep Auto-Encoders Based Linear Model for Data Classification
Sensors, 2020 This paper proposes a novel data classification framework, combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm.
Ahmad M. Karim +5 more
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An output-sensitive algorithm for persistent homology
Computational Geometry, 2011 The authors study the computation of persistent homology of a simplicial complex over \(\mathbb Z_2\). In this direction, the first algorithm by \textit{H. Edelsbrunner} et al. [Discrete Comput. Geom. 28, No. 4, 511--533 (2002; Zbl 1011.68152)], was based on column-wise matrix reduction of a boundary matrix of the simplicial complex.
Chen, C., Kerber, M.
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Energies, 2021 This work aims to model the combined cycle power plant (CCPP) using different algorithms. The algorithms used are Ridge, Linear regressor (LR), and upport vector regressor (SVR).
Asif Afzal +4 more
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Research on Directed Clique Enumeration with Strongly Connected Constraint [PDF]
Jisuanji kexue yu tansuoDirected edges in a directed graph can represent the direction of relationships or the transmission of data. Introducing connectivity constraints in the mining of dense subgraphs can enhance the connections between vertices. Accordingly, by combining the
CHEN Jiujian, DAI Qiangqiang, LI Ronghua, WANG Guoren
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