Search Results - tensor sparse coding
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1
Authors: et al.
Source: IEEE Access, Vol 9, Pp 12217-12229 (2021)
Subject Terms: spatially adaptive coherence threshold, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, tensor spatial coherence orthogonal matching pursuit (TSC-OMP), Tensor sparse coding, 01 natural sciences, TK1-9971, 0105 earth and related environmental sciences
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2
Authors: et al.
Source: IEEE Geoscience and Remote Sensing Letters. 20:1-5
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3
Authors:
Source: IEEE Access, Vol 9, Pp 109396-109406 (2021)
Subject Terms: Stereo matching, high-order tensor, convolutional sparse coding, deep learning, dictionary learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
File Description: electronic resource
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4
Authors: et al.
Source: Computer Graphics Forum. 42
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5
Authors: et al.
Source: IEEE Access, Vol 8, Pp 145207-145215 (2020)
Subject Terms: Hyperspectral image classification, compressive dimensionality reduction, slice sparse coding tensor, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
File Description: electronic resource
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6
Authors: et al.
Source: IEEE Transactions on Geoscience and Remote Sensing. 56:2491-2502
Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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7
Authors:
Source: Procedia Computer Science. 131:234-242
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8
Authors: et al.
Source: 2017 IEEE International Conference on Multimedia and Expo (ICME). :67-72
Subject Terms: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: http://arxiv.org/pdf/1703.09342
http://arxiv.org/abs/1703.09342
http://ieeexplore.ieee.org/document/8019522
https://doi.org/10.1109/ICME.2017.8019522
https://arxiv.org/abs/1703.09342
http://dblp.uni-trier.de/db/conf/icmcs/icme2017.html#JiangLLS17
https://dblp.uni-trier.de/db/journals/corr/corr1703.html#JiangLLS17
https://ieeexplore.ieee.org/document/8019522 -
9
Authors: et al.
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:1632-1639
Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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10
Authors: et al.
Source: 2014 International Joint Conference on Neural Networks (IJCNN)
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
File Description: application/pdf
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11
Authors:
Source: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :3572-3576
Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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12
Authors: et al.
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. 36:592-605
Subject Terms: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: http://www-users.cs.umn.edu/~boley/publications/papers/TensorSparse13.pdf
https://pubmed.ncbi.nlm.nih.gov/24457513
https://ieeexplore.ieee.org/document/6574845
https://www.computer.org/csdl/trans/tp/preprint/06574845.html
https://www.ncbi.nlm.nih.gov/pubmed/23917416
https://minnesota-staging.pure.elsevier.com/en/publications/tensor -sparse -coding -for-positive-definite-matrices
https://doi.org/10.1109/TPAMI.2013.143
https://europepmc.org/abstract/MED/24457513 -
13
Authors: et al.
Source: Proceedings of the AAAI Conference on Artificial Intelligence. 32
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14
Authors: Jeremy E. Cohen
Source: Frontiers in Applied Mathematics and Statistics, Vol 8 (2022)
Subject Terms: dictionary, tensors, sparse, low-rank, non-convex optimization, LASSO, Applied mathematics. Quantitative methods, T57-57.97, Probabilities. Mathematical statistics, QA273-280
File Description: electronic resource
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15
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16
Authors: et al.
Contributors: et al.
Source: https://hal.science/hal-04302420 ; 2023.
Subject Terms: magnetic resonance imaging, super-resolution, multi-modality fusion, inverse methods, compressive sensing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
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17
Authors: et al.
Source: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p
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18
Authors:
Source: IEEE Access, Vol 10, Pp 69354-69363 (2022)
Subject Terms: Multilinear subspace learning, tensor convolutional sparse coding, low-rank tensor model, tensor singular value decomposition (T-SVD), Electrical engineering. Electronics. Nuclear engineering, TK1-9971
File Description: electronic resource
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19
Authors: et al.
Source: Lecture Notes in Computer Science ISBN: 9783642155604
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20
Authors:
Source: Procedia Computer Science. 2018, Vol. 131, p234-242. 9p.
Subject Terms: Image processing, Computational complexity, Algorithms, Visualization, Animation (Cinematography)
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