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Deep learning has been successfully introduced for 2D-image denoising, but it is still unsatisfactory for hyperspectral image (HSI) denoising due to the unacceptable computational complexity of the ...
dc.subject.keywords: Linear Algebra dc.subject.keywords: Matrices dc.subject.keywords: Linear Equations dc.subject.keywords: Isometrics dc.title: Introduction To Matrices And Linear Transformations, ...
Recent theory of mapping an image into a structured low-rank Toeplitz or Hankel matrix has become an effective method to restore images. In this paper, we introduce a generalized structured low-rank ...
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The present paper describes an integrated micro/macro mechanical study of the elastic-viscoplastic behavior of unidirectional metal matrix composites (MMC). The micromechanical analysis of the elastic ...
iot machine-learning nim deep-learning opencl linear-algebra automatic-differentiation openmp parallel-computing cuda autograd gpgpu neural-networks high-performance-computing ndarray tensor ...
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