Suchergebnisse - "Tensor Decompositions and Applications in Multilinear Algebra"
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1
Autoren:
Quelle: Applied Numerical Mathematics. 200:236-253
Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Higher-Order Tensors, Tensor (intrinsic definition), Formalism (music), 01 natural sciences, Mathematical analysis, Visual arts, Quantum Many-Body Systems and Entanglement Dynamics, FOS: Mathematics, Centrality Measures, Centrality, Mathematics - Numerical Analysis, Tensor Networks, Tensor contraction, 0101 mathematics, Resolvent, Pure mathematics, Statistical and Nonlinear Physics, Numerical Analysis (math.NA), Atomic and Molecular Physics, and Optics, Computational Mathematics, Tensor product, Subspace topology, Physics and Astronomy, Combinatorics, Mathematical physics, Physical Sciences, Tensor Decomposition, Statistical Mechanics of Complex Networks, Nonnegative Tensor Factorization, Einstein, Musical, 05C50, 15A18, 65F15, Tensor product of Hilbert spaces, Adjacency tensor, centrality measures, Einstein product, Krylov subspace method, multilayer networks, tensor functions, Mathematics, Art
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/abs/2210.09355
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2
Autoren:
Quelle: Journal of Computational and Graphical Statistics. 32:1320-1336
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Tensor Decompositions and Applications in Multilinear Algebra, Tensor (intrinsic definition), Economics, Hypergraph networks, Organic chemistry, Mathematics - Statistics Theory, Statistics Theory (math.ST), Space (punctuation), 01 natural sciences, Machine Learning (cs.LG), Methodology (stat.ME), Artificial Intelligence, FOS: Mathematics, 0101 mathematics, Statistics - Methodology, Order (exchange), Decomposition, Pure mathematics, Applied mathematics, Computer science, Computational Mathematics, Chemistry, Operating system, Tensor decomposition, Computer Science, Physical Sciences, Scientific Computing and Data Analysis with Python, Mathematics, Finance
Zugangs-URL: http://arxiv.org/abs/2106.16042
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3
Autoren:
Quelle: Numerical Algorithms. 95:665-691
Schlagwörter: Composite material, Tensor Decompositions and Applications in Multilinear Algebra, Tensor (intrinsic definition), Fast Multipole Method, Matrix (chemical analysis), Extrapolation, Mode (computer interface), Polynomial, Mathematical analysis, FOS: Mathematics, Genetics, Biology, Matrix Algorithms and Iterative Methods, Algebra over a field, Pure mathematics, Applied mathematics, Computer science, Atomic and Molecular Physics, and Optics, Iterative method, Materials science, Algorithm, Computational Mathematics, Tensor product, Operating system, Computational Theory and Mathematics, Physics and Astronomy, Rank (graph theory), Combinatorics, FOS: Biological sciences, Physical Sciences, Computer Science, Tensor Decomposition, Nonnegative Tensor Factorization, Electromagnetic Scattering with Integral Equations, Iterative Methods, Mathematics, Sequence (biology)
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4
Autoren:
Quelle: Computer Systems Science and Engineering. 46:563-578
Schlagwörter: Artificial neural network, Parallel computing, Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, Discriminator, MNIST database, 02 engineering and technology, Speedup, 7. Clean energy, Deep Learning, Stochastic gradient descent, Artificial Intelligence, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Neural Network Architectures, 2. Zero hunger, Deep learning, Detector, Scientific Computing, 15. Life on land, Computer science, Algorithm, Computational Mathematics, Computer Science, Physical Sciences, Computation, Telecommunications, Deep Learning in Computer Vision and Image Recognition, Scientific Computing and Data Analysis with Python, Computer Vision and Pattern Recognition, Mathematics
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5
Autoren: et al.
Quelle: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). :1815-1820
Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Analytics, Artificial intelligence, Computer Networks and Communications, Higher-Order Tensors, Tensor (intrinsic definition), Computational Mechanics, Geometry, AKA, Library science, Big data, Engineering, Tracking (education), Adaptive Filtering in Non-Gaussian Signal Processing, Tucker decomposition, FOS: Mathematics, Data stream, Psychology, Adaptive Filtering, Data mining, Coordinate descent, Pedagogy, Pure mathematics, Data stream mining, Computer science, Algorithm, FOS: Psychology, Computational Mathematics, Robust Adaptive Filtering, Outlier, Streaming data, Tensor decomposition, Physical Sciences, Efficient Power Control in Wireless Networks, Computer Science, Tensor Decomposition, Telecommunications, Multiuser Detection, Mathematics, Block (permutation group theory)
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: IEEE Transactions on Knowledge and Data Engineering. 35:10897-10921
Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, Tensor (intrinsic definition), Perspective (graphical), 02 engineering and technology, Data science, Theoretical computer science, Tracking (education), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Biology, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Decomposition, Ecology, Pedagogy, Pure mathematics, Computer science, FOS: Psychology, Computational Mathematics, Tensor decomposition, FOS: Biological sciences, Physical Sciences, Tensor Decomposition, Signal Processing, Nonnegative Tensor Factorization, Mathematics
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Autoren: et al.
Quelle: Journal of High Energy Physics, Vol 2024, Iss 2, Pp 1-46 (2024)
Journal of High Energy PhysicsSchlagwörter: High Energy Physics - Theory, Tensor Decompositions and Applications in Multilinear Algebra, Nuclear and High Energy Physics, Tensor (intrinsic definition), FOS: Physical sciences, Geometry, Field Theories in Higher Dimensions, Evolutionary biology, QC770-798, 01 natural sciences, High Energy Physics - Phenomenology (hep-ph), Artificial Intelligence, Nuclear and particle physics. Atomic energy. Radioactivity, 0103 physical sciences, FOS: Mathematics, Scattering Amplitudes, Biology, Expression (computer science), Quantum electrodynamics, Physics, Particle physics, Pure mathematics, Holographic Derivation of Field Theories and Gravity, Computer science, Programming language, High Energy Physics - Phenomenology, Computational Mathematics, High Energy Physics - Theory (hep-th), Physics and Astronomy, Function (biology), Combinatorics, Mathematical physics, Physical Sciences, Computer Science, Tensor Decomposition, Higher-Order Perturbative Calculations, Nonnegative Tensor Factorization, Scientific Computing and Data Analysis with Python, Reduction (mathematics), Loop (graph theory), Theoretical physics, Mathematics
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8
Autoren:
Quelle: IEEE Access, Vol 10, Pp 134292-134306 (2022)
Schlagwörter: Artificial intelligence, FOS: Political science, 02 engineering and technology, 7. Clean energy, Graph, tensor decomposition, Document Clustering, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Political science, Data Clustering Techniques and Algorithms, Curse of dimensionality, spectral clustering, Adjacency matrix, Politics, Dimensionality reduction, Community structure, Algorithm, Computational Mathematics, Physical Sciences, 8. Economic growth, Electrical engineering. Electronics. Nuclear engineering, low-rank representation, Stream Data Clustering, optimization, Density-based Clustering, Tensor Decompositions and Applications in Multilinear Algebra, Multi-view networks, Tensor (intrinsic definition), FOS: Law, 12. Responsible consumption, Cluster analysis, Theoretical computer science, Artificial Intelligence, FOS: Mathematics, Adjacency list, Community Structure, Data mining, Pure mathematics, Statistical and Nonlinear Physics, Semi-supervised Clustering, Computer science, TK1-9971, Subspace topology, Physics and Astronomy, Combinatorics, Computer Science, Statistical Mechanics of Complex Networks, Representation (politics), Law, Mathematics
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Autoren: et al.
Quelle: Numerical Linear Algebra with Applications. 31
Schlagwörter: Composite material, Tensor Decompositions and Applications in Multilinear Algebra, Higher-Order Tensors, Tensor (intrinsic definition), Matrix (chemical analysis), Singular Value Decomposition, Mathematical analysis, Quantum mechanics, 01 natural sciences, Artificial Intelligence, FOS: Mathematics, Mathematics - Numerical Analysis, 0101 mathematics, Singular solution, Singular spectrum analysis, Matrix Algorithms and Iterative Methods, Eigenvalues and eigenvectors, Text Compression and Indexing Algorithms, Physics, Lanczos resampling, Singular value decomposition, Pure mathematics, Numerical Analysis (math.NA), Applied mathematics, Materials science, Algorithm, Computational Mathematics, Singular value, Tensor product, Computational Theory and Mathematics, Physical Sciences, Computer Science, Tensor Decomposition, Computation, Mathematics, Matrix Computations
Zugangs-URL: http://arxiv.org/abs/2301.02119
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Autoren: et al.
Quelle: ICC 2021 - IEEE International Conference on Communications. :1-6
Schlagwörter: Artificial neural network, 0301 basic medicine, Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, Missing data, Recurrent neural network, Social Sciences, Transportation, Convolutional neural network, Anomaly detection, 7. Clean energy, Graph, Real-time computing, 03 medical and health sciences, Engineering, Theoretical computer science, Graph Convolutional Networks, Machine learning, FOS: Mathematics, Imputation (statistics), Data mining, 0303 health sciences, Deep learning, Traffic Flow Prediction and Forecasting, Building and Construction, Computer science, Multivariate statistics, Computational Mathematics, Traffic generation model, Physical Sciences, Mathematics, Understanding Human Mobility Patterns
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Autoren: et al.
Quelle: Complex & Intelligent Systems. 8:771-785
Schlagwörter: FOS: Computer and information sciences, Artificial neural network, Composite material, Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, Computer Science - Artificial Intelligence, Higher-Order Tensors, Tensor (intrinsic definition), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computational Mechanics, Geometry, Organic chemistry, Heuristic, Set (abstract data type), MNIST database, 02 engineering and technology, 03 medical and health sciences, Engineering, Selection (genetic algorithm), 0302 clinical medicine, Compressed Sensing, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computational intelligence, Mathematical optimization, Ring (chemistry), Theory and Applications of Compressed Sensing, Computer science, Dictionary Learning, Materials science, Programming language, Algorithm, Computational Mathematics, Chemistry, Artificial Intelligence (cs.AI), Aggregate (composite), Rank (graph theory), Combinatorics, Physical Sciences, Computer Science, Nonnegative Tensor Factorization, Deep Learning in Computer Vision and Image Recognition, Semantic Segmentation, Computer Vision and Pattern Recognition, Mathematics
Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s40747-021-00308-x.pdf
http://arxiv.org/abs/2009.10580
https://www.arxiv-vanity.com/papers/2009.10580/
https://link.springer.com/content/pdf/10.1007/s40747-021-00308-x.pdf
https://arxiv.org/pdf/2009.10580
https://link.springer.com/article/10.1007/s40747-021-00308-x
http://ir.ia.ac.cn/handle/173211/44071?mode=full&submit_simple=Show+full+item+record
https://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-10580 -
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Autoren: et al.
Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Analytics, Artificial intelligence, Computer Networks and Communications, Higher-Order Tensors, Tensor (intrinsic definition), Computational Mechanics, Geometry, AKA, Library science, Big data, Engineering, Tracking (education), Adaptive Filtering in Non-Gaussian Signal Processing, Tucker decomposition, FOS: Mathematics, Data stream, Psychology, Adaptive Filtering, Data mining, Coordinate descent, Pedagogy, 4. Education, Pure mathematics, Data stream mining, Computer science, Algorithm, FOS: Psychology, Computational Mathematics, Robust Adaptive Filtering, Outlier, Streaming data, Tensor decomposition, Physical Sciences, Efficient Power Control in Wireless Networks, Computer Science, Tensor Decomposition, Telecommunications, Multiuser Detection, Mathematics, Block (permutation group theory)
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Autoren: et al.
Quelle: International Journal of Computer Vision. 128:360-392
Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, Higher-Order Tensors, 02 engineering and technology, Pattern recognition (psychology), Power iteration, Parallel Factor Analysis, 03 medical and health sciences, 0302 clinical medicine, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 2. Zero hunger, csis, Mathematical optimization, Statistics, Computer science, Iterative method, Computational Mathematics, Human Action Recognition and Pose Estimation, Video tracking, Physical Sciences, Computer Science, Tensor Decomposition, Signal Processing, Matching (statistics), Nonnegative Tensor Factorization, Deep Learning in Computer Vision and Image Recognition, Object (grammar), Computer Vision and Pattern Recognition, Mathematics
Dateibeschreibung: application/pdf
Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s11263-019-01231-y.pdf
https://eprints.bbk.ac.uk/id/eprint/29559/8/29559.pdf
https://link.springer.com/article/10.1007/s11263-019-01231-y
https://link.springer.com/content/pdf/10.1007/s11263-019-01231-y.pdf
https://doi.org/10.1007/s11263-019-01231-y
https://dblp.uni-trier.de/db/journals/ijcv/ijcv128.html#HuSZXLM20 -
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Autoren: et al.
Quelle: IEEE Access, Vol 7, Pp 104710-104720 (2019)
Akmal, M, Zubair, S, Jochumsen, M, Kamavuako, E N & Niazi, I K 2019, 'A tensor-based method for completion of missing electromyography data', IEEE Access, vol. 7, 8777071, pp. 104710-104720. https://doi.org/10.1109/ACCESS.2019.2931371
Akmal, M, Zubair, S Z, Jochumsen, M, Kamavuako, E N & Khan Niazi, I 2019, ' A tensor-based method for completion of missing electromyography data ' .Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, Tensor (intrinsic definition), Missing data, Principal component analysis, Biomedical Engineering, Surface EMG, 02 engineering and technology, FOS: Medical engineering, Pattern recognition (psychology), Quantum mechanics, missing data, Matrix decomposition, 03 medical and health sciences, tensor decomposition, Engineering, 0302 clinical medicine, Linear programming, Health Sciences, Machine learning, FOS: Mathematics, Classification and Interventions for Cerebral Palsy, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Eigenvalues and eigenvectors, Computer network, Electromyography, Muscles, Physics, Data models, Pure mathematics, EMG data, Non-negative matrix factorization, Computer science, TK1-9971, Computational Mathematics, Psychiatry and Mental health, Analysis of Electromyography Signal Processing, Channel (broadcasting), Tensor decomposition, Physical Sciences, Tensor Decomposition, Signal Processing, Medicine, Nonnegative Tensor Factorization, Electrical engineering. Electronics. Nuclear engineering, Mathematics
Dateibeschreibung: application/pdf
Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08777071.pdf
https://doaj.org/article/045f830eb76f440daa56bad7fdd58148
https://vbn.aau.dk/da/publications/a-tensor -based-method-for-completion-of-missing-electromyography--2
https://doi.org/10.1109/ACCESS.2019.2931371
https://ieeexplore.ieee.org/document/8777071/
https://kclpure.kcl.ac.uk/portal/files/114148136/AcceptedversionIEEE_Access.pdf
https://vbn.aau.dk/ws/files/311374775/08777071.pdf
https://dblp.uni-trier.de/db/journals/access/access7.html#AkmalZJKN19
https://kclpure.kcl.ac.uk/portal/en/publications/a-tensorbased-method-for-completion-of-missing-electromyography-data(cc19d061-fb48-49e0-b510-af246642afa6).html -
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Autoren: et al.
Quelle: 2017 25th European Signal Processing Conference (EUSIPCO). :648-652
Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Blind Source Separation and Independent Component Analysis, Higher-Order Tensors, Tensor (intrinsic definition), Economics, Sparsity in Signal Processing, Computational Mechanics, 02 engineering and technology, Systems engineering, Sparse Approximation, Big data, Engineering, Compressed Sensing, 0504 sociology, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Order (exchange), 4. Education, 05 social sciences, Pure mathematics, Theory and Applications of Compressed Sensing, Computer science, Computational Mathematics, Physical Sciences, Signal Processing, Computer Science, Sparse Representations, Estimation, Mathematics, Finance
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Autoren: et al.
Quelle: Patterns (N Y)
Patterns, Vol 4, Iss 6, Pp 100759-(2023)Schlagwörter: Tensor Decompositions and Applications in Multilinear Algebra, Higher-Order Tensors, Tensor (intrinsic definition), Economics, DSML 3: Development/pre-production, Evolutionary biology, Article, QA76.75-76.765, Tracking (education), Online algorithm, Tucker decomposition, FOS: Mathematics, Psychology, Computer software, Biology, Economic growth, Decomposition, Ecology, Linear subspace, Pedagogy, Mathematical optimization, Pure mathematics, Computer science, Computational complexity theory, FOS: Psychology, Algorithm, Computational Mathematics, Rank (graph theory), Function (biology), Combinatorics, Tensor decomposition, FOS: Biological sciences, Physical Sciences, Tensor Decomposition, Convergence (economics), Nonnegative Tensor Factorization, Mathematics
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Signal Processing. 216:109297
Schlagwörter: Adaptive filter, Tensor Decompositions and Applications in Multilinear Algebra, Electricity Price and Load Forecasting Methods, Higher-Order Tensors, Tensor (intrinsic definition), Computational Mechanics, Geometry, Evolutionary biology, 02 engineering and technology, 01 natural sciences, Estimator, Arterial Stiffness and Cardiovascular Health, Engineering, Compressed Sensing, Tracking (education), Adaptive Filtering in Non-Gaussian Signal Processing, Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Psychology, Recursive least squares filter, 0101 mathematics, Electrical and Electronic Engineering, Biology, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Coordinate descent, Pedagogy, Statistics, Pure mathematics, Theory and Applications of Compressed Sensing, Computer science, Algorithm, FOS: Psychology, Computational Mathematics, Robust Adaptive Filtering, Function (biology), Physical Sciences, Tensor Decomposition, Signal Processing, Medicine, Nonnegative Tensor Factorization, Cardiology and Cardiovascular Medicine, Least-squares function approximation, Block (permutation group theory), Mathematics
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Autoren:
Quelle: Journal of Physics A: Mathematical and Theoretical. 56:455301
Schlagwörter: Artificial neural network, Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, higher order Markov chains, Markov chain, Commutative property, 01 natural sciences, Quantum mechanics, Quantum, Convolution (computer science), Artificial Intelligence, Quantum Computing and Simulation, 0103 physical sciences, FOS: Mathematics, 0101 mathematics, Quantum dynamics, Quantum process, Eigenvalues and eigenvectors, product of quantum states, Arithmetic, Physics, 4. Education, Statistics, Pure mathematics, tristochastic channels, Discrete mathematics, Applied mathematics, Computer science, Quantum Information and Computation, Quantum state, Computational Mathematics, Associative property, Physical Sciences, Computer Science, Tensor Decomposition, Statistical physics, multi-stochastic tensors, Binary number, Quantum probability, Mathematics
Zugangs-URL: https://ruj.uj.edu.pl/xmlui/handle/item/328085
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Autoren: et al.
Quelle: Lecture Notes in Physics ISBN: 9783030344887
Schlagwörter: Composite material, Tensor Decompositions and Applications in Multilinear Algebra, Tensor (intrinsic definition), Multilinear Algebra, Matrix (chemical analysis), Epistemology, Quantum mechanics, 7. Clean energy, Quantum Many-Body Systems and Entanglement Dynamics, State (computer science), FOS: Mathematics, Matrix Algorithms and Iterative Methods, Eigenvalues and eigenvectors, Algebra over a field, Physics, 4. Education, Pure mathematics, Numerical Linear Algebra, Orthogonalization, Atomic and Molecular Physics, and Optics, Materials science, FOS: Philosophy, ethics and religion, Algorithm, Computational Mathematics, Philosophy, Physics and Astronomy, Computational Theory and Mathematics, Combinatorics, Mathematical physics, Physical Sciences, Computer Science, Tensor Decomposition, Simple (philosophy), Nonnegative Tensor Factorization, Mathematics, Matrix Computations
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Autoren: et al.
Quelle: The Astrophysical Journal, Vol 952, Iss 1, p 69 (2023)
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Tensor Decompositions and Applications in Multilinear Algebra, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysical Simulations, Cosmological parameters, Hydrodynamical simulations, FOS: Physical sciences, Astrophysics, 01 natural sciences, Machine Learning (cs.LG), Machine Learning, Astrostatistics, Artificial Intelligence, Field (mathematics), 0103 physical sciences, FOS: Mathematics, 0101 mathematics, Galaxy formation and evolution, Galaxy Formation and Evolution in the Universe, Statistical Modeling, Physics, Magnetohydrodynamical simulations, Pure mathematics, Astronomy and Astrophysics, Scientific Computing, Astrophysics - Astrophysics of Galaxies, Computer science, Cosmology, QB460-466, Algorithm, Computational Mathematics, Galaxy, Physics and Astronomy, Astrophysics of Galaxies (astro-ph.GA), Physical Sciences, Computer Science, Nonnegative Tensor Factorization, Scientific Computing and Data Analysis with Python, Mathematics, Astrophysics - Cosmology and Nongalactic Astrophysics
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