Results 51 to 60 of about 145,037 (166)
IEEE Access, 2020 Infrared small target detection is a crucial and challenging topic for various applications. In recent years, the spectrum scale space (SSS) algorithm has shown considerable potential in the field of target detection.
Zujing Yan +4 more
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Efficient Preference Clustering via Random Fourier Features
Big Data Mining and Analytics, 2019 Approximations based on random Fourier features have recently emerged as an efficient and elegant method for designing large-scale machine learning tasks.
Jingshu Liu, Li Wang, Jinglei Liu
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Using Rotations to Control Observable Relativistic Effects
MathematicsThis paper examines the possibility of controlling the outcome of measured (flat space-time) relativistic effects, such as time dilation or length contractions, using pure rotations and their nontrivial interactions with Lorentz boosts in the isometry ...
Danail Brezov
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Column-coherent matrix decomposition
Data Mining and Knowledge Discovery, 2023 AbstractMatrix decomposition is a widely used tool in machine learning with many applications such as dimension reduction or visualization. In this paper we consider decomposing X, a matrix of size $$n \times m$$ n × m , to a product WS ...
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Matrix Decomposition and Applications
, 2022 In 1954, Alston S. Householder published Principles of Numerical Analysis, one of the first modern treatments on matrix decomposition that favored a (block) LU decomposition-the factorization of a matrix into the product of lower and upper triangular matrices.
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Drug-Disease Association Prediction Based on Neighborhood Information Aggregation in Neural Networks
IEEE Access, 2019 Computational drug repositioning plays a vital role in the prediction of drug function. Many new functions discovered have been confirmed. In comparison with traditional drug repositioning, computational drug repositioning shortens the time and reduces ...
Yingdong Wang +4 more
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Zbornik radova, 2018 Matrice se dijele u različite klase, ovisno o formi i određenim svojstvima. Matrične faktorizacije ovise o svojstvima određene klase matrica pa su faktorizacije matrica od velikog značaja u teoriji matrica, pri analizi numeričkih algoritama i uopće u numeričkoj linearnoj algebri. Faktorizacija matrice A je prikaz matrice A kao produkta "jednostavnijih"
Ines Radošević Medvidović +1 more
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Enhanced Efficient 3D Poisson Solver Supporting Dirichlet, Neumann, and Periodic Boundary Conditions
ComputationThis paper generalizes the efficient matrix decomposition method for solving the finite-difference (FD) discretized three-dimensional (3D) Poisson’s equation using symmetric 27-point, 4th-order accurate stencils to adapt more boundary conditions (BCs), i.
Chieh-Hsun Wu
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On relationships between two linear subspaces and two orthogonal projectors
Special Matrices, 2019 Sum and intersection of linear subspaces in a vector space over a field are fundamental operations in linear algebra. The purpose of this survey paper is to give a comprehensive approach to the sums and intersections of two linear subspaces and their ...
Tian Yongge
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An Integer Linear Programming Formulation for the Minimum Cardinality Segmentation Problem
Algorithms, 2015 In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard combinatorial optimization problem arising in intensity-modulated radiation therapy.
Daniele Catanzaro, Céline Engelbeen
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