Tensor

Results: 1074



#Item
51Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Changwei Hu∗ , Piyush Rai∗ , Changyou Chen∗ , Matthew Harding† , and Lawrence Carin∗ ∗

Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Changwei Hu∗ , Piyush Rai∗ , Changyou Chen∗ , Matthew Harding† , and Lawrence Carin∗ ∗

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Source URL: people.duke.edu

- Date: 2015-06-16 21:32:16
    52Supplementary Material: Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors In our MGP based CP decomposition, the tensor element xi , with i = [i1 , i2 , · · · , iK ] its K-dimensional index vecto

    Supplementary Material: Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors In our MGP based CP decomposition, the tensor element xi , with i = [i1 , i2 , · · · , iK ] its K-dimensional index vecto

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    Source URL: people.duke.edu

    - Date: 2014-05-13 11:37:32
      53Proceedings 1st International Workshop on Advanced Analytics and Learning on Temporal Data AALTD 2015 Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach

      Proceedings 1st International Workshop on Advanced Analytics and Learning on Temporal Data AALTD 2015 Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach

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      Source URL: ceur-ws.org

      - Date: 2015-07-29 12:02:48
        54Leveraging Features and Networks for Probabilistic Tensor Decomposition Piyush Rai, Yingjian Wang, Lawrence Carin {piyush.rai,yingjian.wang,lcarin}@duke.edu ECE Department, Duke University Durham, NC 27708

        Leveraging Features and Networks for Probabilistic Tensor Decomposition Piyush Rai, Yingjian Wang, Lawrence Carin {piyush.rai,yingjian.wang,lcarin}@duke.edu ECE Department, Duke University Durham, NC 27708

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        Source URL: people.duke.edu

        - Date: 2014-11-29 14:39:37
          55Scalable Probabilistic Tensor Factorization for Binary and Count Data Piyush Rai∗ , Changwei Hu∗ , Matthew Harding† , Lawrence Carin∗ ∗ Department of Electrical & Computer Engineering, Duke University † Sanfo

          Scalable Probabilistic Tensor Factorization for Binary and Count Data Piyush Rai∗ , Changwei Hu∗ , Matthew Harding† , Lawrence Carin∗ ∗ Department of Electrical & Computer Engineering, Duke University † Sanfo

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          Source URL: people.duke.edu

          - Date: 2015-05-04 14:37:16
            56Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors Changwei Hu∗ ECE Department Duke University Durham, NC 27708

            Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors Changwei Hu∗ ECE Department Duke University Durham, NC 27708

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            Source URL: people.duke.edu

            - Date: 2015-06-16 21:31:58
              57Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Tensor decomposition via sum of squares One of the most basic tools in data analysis is least squares regression.

              Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Tensor decomposition via sum of squares One of the most basic tools in data analysis is least squares regression.

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              Source URL: sumofsquares.org

              - Date: 2016-11-17 19:44:26
                58Tensor  networks  and  coding  theory:   Polar  and  branching-­‐MERA  codes   Andy  Ferris   ICFO  –  Ins@tute  of  Photonic  Science  (Spain)   Max  Planck

                Tensor  networks  and  coding  theory:   Polar  and  branching-­‐MERA  codes   Andy  Ferris   ICFO  –  Ins@tute  of  Photonic  Science  (Spain)   Max  Planck

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                Source URL: www.qec14.ethz.ch

                - Date: 2015-01-29 04:03:03
                  59A tensor motion descriptor based on histograms of gradients and optical flow Mota V. F.1a,b , Perez E. A.a , Maciel L. M.a , Vieira M. B.a , Gosselin, P. H.c a b

                  A tensor motion descriptor based on histograms of gradients and optical flow Mota V. F.1a,b , Perez E. A.a , Maciel L. M.a , Vieira M. B.a , Gosselin, P. H.c a b

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                  Source URL: www.gcg.ufjf.br

                  - Date: 2016-07-25 19:26:40
                    60Lecture by John F. Nash Jr. An Interesting Equation The equation that we have discovered is a 4th order covariant tensor partial differential equation applicable to the metric tensor of a space-time. It is simplest in fo

                    Lecture by John F. Nash Jr. An Interesting Equation The equation that we have discovered is a 4th order covariant tensor partial differential equation applicable to the metric tensor of a space-time. It is simplest in fo

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                    Source URL: web.math.princeton.edu

                    - Date: 2004-09-21 14:42:58