Sparse

Results: 1782



#Item
51

Sparse Flat Neighborhood Networks (SFNNs): Scalable Guaranteed Pairwise Bandwidth & Unit Latency Timothy I. Mattox, Henry G. Dietz, & William R. Dieter Electrical and Computer Engineering Department University of Kentuck

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Source URL: aggregate.org

Language: English - Date: 2005-03-29 18:15:30
    52

    Statistical and computational trade-offs in estimation of sparse principal components

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    Source URL: www.statslab.cam.ac.uk

    Language: English - Date: 2016-09-13 11:35:03
      53

      Kernelization using structural parameters on sparse graph classes ˇ 1 Jan Obdržálek1 Jakub Gajarský1 Petr Hlinený 1 Sebastian Ordyniak

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      Source URL: tcs.rwth-aachen.de

      Language: English - Date: 2013-04-22 06:45:46
        54

        DCC888 – Sparse Data-Flow Analyses Name: ID:

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        Source URL: homepages.dcc.ufmg.br

        Language: English - Date: 2015-04-15 08:18:36
          55

          Signal Modeling: From Convolutional Sparse Coding to Convolutional Neural Networks Vardan Papyan The Computer Science Department Technion – Israel Institute of technology

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          Source URL: vardanp.cswp.cs.technion.ac.il

          Language: English - Date: 2016-10-13 05:32:21
            56

            Sparse Uncorrelated Linear Discriminant Analysis Delin Chu Xiaowei Zhang

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            Source URL: proceedings.mlr.press

            Language: English - Date: 2018-07-16 03:38:07
              57

              Fast L0-based Sparse Signal Recovery Nick Kingsbury and Yingsong Zhang Signal Processing Group Department of Engineering

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              Source URL: sigproc.eng.cam.ac.uk

              Language: English - Date: 2013-08-05 15:59:35
                58

                Sparsity-Based Generalization Bounds for Predictive Sparse Coding Nishant A. Mehta Alexander G. Gray College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA

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                Source URL: proceedings.mlr.press

                Language: English - Date: 2018-07-16 03:38:07
                  59

                  EFFICIENT SPARSE MATRIX PROCESSING FOR NILM NILM Workshop 2014 Stephen Makonin, PhD Candidate, ISP, smIEEE! June 3,1 2014

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                  Source URL: makonin.com

                  Language: English - Date: 2018-08-09 01:36:34
                    60

                    Modelling Sparse Dynamical Systems with Compressed Predictive State Representations William L. Hamilton Reasoning and Learning Laboratory, School of Computer Science, McGill University, Montreal, QC,

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                    Source URL: proceedings.mlr.press

                    Language: English - Date: 2018-07-16 03:38:06
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