Data matrix

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11Backend Decision Making Matrix BaaS OR DIY? Your App requires simple data retrieval/storage. Your App requires custom backend

Backend Decision Making Matrix BaaS OR DIY? Your App requires simple data retrieval/storage. Your App requires custom backend

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Source URL: ausios.com

- Date: 2016-08-11 06:32:58
    12Collective Matrix Factorization Hashing for Multimodal Data Guiguang Ding Yuchen Guo Jile Zhou School of Software,Tsinghua University, Beijing, P.R.China

    Collective Matrix Factorization Hashing for Multimodal Data Guiguang Ding Yuchen Guo Jile Zhou School of Software,Tsinghua University, Beijing, P.R.China

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    Source URL: ise.thss.tsinghua.edu.cn

    - Date: 2014-07-28 02:51:54
      13Overland Storage / Tandberg Data Software Compatibility Matrix EFFECTIVE: December 2016 Software Compatibility Matrix EFFECTIVE: December 2016

      Overland Storage / Tandberg Data Software Compatibility Matrix EFFECTIVE: December 2016 Software Compatibility Matrix EFFECTIVE: December 2016

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      Source URL: www.overlandstorage.com

      - Date: 2016-12-12 14:23:54
        14-Why use SLE?Simple Off-line Clean-up Techniques to Eliminate Phospholipids and other Matrix Interferences in LC-MS/MS Bioanalysis ＜＜2015年11月14日：薬物動態学会年会 ランチョンセミナー＞＞

        -Why use SLE?Simple Off-line Clean-up Techniques to Eliminate Phospholipids and other Matrix Interferences in LC-MS/MS Bioanalysis ＜＜2015年11月14日：薬物動態学会年会 ランチョンセミナー＞＞

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        Source URL: data.biotage.co.jp

        - Date: 2016-01-19 00:25:00
          15Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information Changwei Hu1 Piyush Rai12 Lawrence Carin1

          Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information Changwei Hu1 Piyush Rai12 Lawrence Carin1

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          Source URL: www.cse.iitk.ac.in

          - Date: 2016-04-10 07:53:19
            16The Compressed Annotation Matrix: An Efficient Data Structure for Computing Persistent Cohomology Jean-Daniel Boissonnat & Tamal Dey & Cl´ement Maria JGA 2013

            The Compressed Annotation Matrix: An Efficient Data Structure for Computing Persistent Cohomology Jean-Daniel Boissonnat & Tamal Dey & Cl´ement Maria JGA 2013

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            Source URL: quentin.mrgt.fr

            - Date: 2014-01-09 09:41:45
              17Data Compression, 4th Edition. Program and Pseudo-Code Listings (Advise the author about missing or bad listings.) Chapter 1 % Returns the run lengths of % a matrix of 0s and 1s

              Data Compression, 4th Edition. Program and Pseudo-Code Listings (Advise the author about missing or bad listings.) Chapter 1 % Returns the run lengths of % a matrix of 0s and 1s

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              Source URL: www.davidsalomon.name

              - Date: 2006-08-30 20:56:00
                18Optimal CUR Matrix Decompositions Christos Boutsidis1 Yahoo! Labs New York David P. Woodruff 2

                Optimal CUR Matrix Decompositions Christos Boutsidis1 Yahoo! Labs New York David P. Woodruff 2

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                Source URL: mmds-data.org

                - Date: 2014-06-24 18:17:18
                  19We explore the trade-offs of performing linear algebra in Apache Spark versus the traditional C and MPI approach by examining three widely-used matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquit

                  We explore the trade-offs of performing linear algebra in Apache Spark versus the traditional C and MPI approach by examining three widely-used matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquit

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                  Source URL: mmds-data.org

                  - Date: 2016-06-23 15:50:48