Sparse

Results: 1782



#Item
141

M12.5 MAXIMALLY SPARSE RECONSTRUCTION OF BLURRED STAR FIELD IMAGES Brian D . Jefls and Douglas Elsmore Brigham Young University Provo, UT

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Source URL: www.et.byu.edu

- Date: 2009-10-14 12:22:23
    142

    On the computation of the eigenproblems of hydrogen and helium in strong magnetic and electric fields with the sparse grid combination technique Jochen Garcke and Michael Griebel Institut f¨ ur Angewandte Mathematik, Un

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    Source URL: wissrech.ins.uni-bonn.de

    - Date: 2015-03-23 14:22:21
      143

      Knowledge Based Factorized High Order Sparse Learning Models Sanjay Purushotham ∗ Martin Renqiang Min

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      Source URL: www.cs.toronto.edu

      - Date: 2016-01-04 11:24:47
        144

        Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding Yongbo Li, Weisheng Dong , Guangming Shi, Xuemei Xie School of Electronic Engineering, Xidian University, Xi’an, Ch

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        Source URL: www.cv-foundation.org

        - Date: 2015-10-24 15:01:00
          145

          Data mining with sparse grids using simplicial basis functions Jochen Garcke and Michael Griebel Institut fur ¨ Angewandte Mathematik Abteilung fur

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          Source URL: wissrech.ins.uni-bonn.de

          - Date: 2015-03-23 14:22:22
            146

            Unnatural L0 Sparse Representation for Natural Image Deblurring Supplementary Material Li Xu Shicheng Zheng Jiaya Jia The Chinese University of Hong Kong

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            Source URL: www.cse.cuhk.edu.hk

            - Date: 2013-04-16 04:01:35
              147

              Completely random measures for modeling power laws in sparse graphs Diana Cai Department of Statistics University of Chicago

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              Source URL: stanford.edu

              - Date: 2016-03-24 12:21:20
                148

                Sparse Subspace Clustering Ehsan Elhamifar Ren´e Vidal Center for Imaging Science, Johns Hopkins University, Baltimore MD 21218, USA Abstract (RANSAC) [11], fit a subspace of dimension d to randomly

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                Source URL: vision.jhu.edu

                - Date: 2009-06-18 10:58:29
                  149

                  On the parallelization of the sparse grid approach for data mining Jochen Garcke and Michael Griebel Institut f¨ ur Angewandte Mathematik Abteilung f¨

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                  Source URL: wissrech.ins.uni-bonn.de

                  - Date: 2015-03-23 14:22:23
                    150

                    Parallelisation of Sparse Grids for Large Scale Data Analysis Jochen Garcke1 , Markus Hegland2 and Ole Nielsen2 1 2

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                    Source URL: wissrech.ins.uni-bonn.de

                    - Date: 2015-03-23 14:22:22
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