Tensor

Results: 1074



#Item
41In-Datacenter Performance Analysis of a Tensor Processing Unit​TM Norman P. Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick

In-Datacenter Performance Analysis of a Tensor Processing Unit​TM Norman P. Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick

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Source URL: arxiv.org

- Date: 2017-04-17 20:05:35
    42A Novel Sparsity Measure for Tensor Recovery Qian Zhao1 Deyu Meng1,2,∗ Xu Kong3 Qi Xie1 Wenfei Cao1 Yao Wang1 Zongben Xu1,2 1 School of Mathematics and Statistics, Xi’an Jiaotong University 2 Ministry of Education Ke

    A Novel Sparsity Measure for Tensor Recovery Qian Zhao1 Deyu Meng1,2,∗ Xu Kong3 Qi Xie1 Wenfei Cao1 Yao Wang1 Zongben Xu1,2 1 School of Mathematics and Statistics, Xi’an Jiaotong University 2 Ministry of Education Ke

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    Source URL: www.cv-foundation.org

    - Date: 2015-10-24 14:58:07
      43Fisher Tensor Decomposition for Unconstrained Gait Recognition Wenjuan Gong, Michael Sapienza, and Fabio Cuzzolin Oxford Brookes University, UK {wgong,michael.sapienza-2011,fabio.cuzzolin}@brookes.ac.uk

      Fisher Tensor Decomposition for Unconstrained Gait Recognition Wenjuan Gong, Michael Sapienza, and Fabio Cuzzolin Oxford Brookes University, UK {wgong,michael.sapienza-2011,fabio.cuzzolin}@brookes.ac.uk

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      Source URL: www.cip.ifi.lmu.de

      - Date: 2013-10-23 13:37:48
        44The simplest derivation of the non Abelian field tensor and Lagrangian density. J.R.G. (Hans) de Vries (Dated: December 8, 2008) First the Abelian electromagnetic field is handled after which the same steps are repeated

        The simplest derivation of the non Abelian field tensor and Lagrangian density. J.R.G. (Hans) de Vries (Dated: December 8, 2008) First the Abelian electromagnetic field is handled after which the same steps are repeated

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        Source URL: www.physics-quest.org

        - Date: 2009-05-14 05:44:00
          45ESTIMATING THE TENSOR OF CURVATURE OF A SURFACE FROM A POLYHEDRAL APPROXIMATION Gabriel Taubin IBM T.J.Watson Research Center P.O.Box 704, Yorktown Heights, NY 10598

          ESTIMATING THE TENSOR OF CURVATURE OF A SURFACE FROM A POLYHEDRAL APPROXIMATION Gabriel Taubin IBM T.J.Watson Research Center P.O.Box 704, Yorktown Heights, NY 10598

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          Source URL: mesh.brown.edu

          - Date: 2004-02-12 11:37:19
            46Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Canyi Lu1 , Jiashi Feng1 , Yudong Chen2 , Wei Liu3 , Zhouchen Lin4,5,∗, Shuicheng Yan6,1 1 2

            Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Canyi Lu1 , Jiashi Feng1 , Yudong Chen2 , Wei Liu3 , Zhouchen Lin4,5,∗, Shuicheng Yan6,1 1 2

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            Source URL: www.cis.pku.edu.cn

            - Date: 2016-10-19 02:44:00
              47Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising Weisheng Dong Xidian University, China Guangyu Li

              Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising Weisheng Dong Xidian University, China Guangyu Li

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              Source URL: www.cv-foundation.org

              - Date: 2015-10-24 15:00:46
                48Efficient Spatio-Temporal Sampling via Low-Rank Tensor Sketching Rose Yu, Sanjay Purushotham, Yan Liu {qiyu, spurusho, yanliu.cs}@usc.edu 1. Abstract

                Efficient Spatio-Temporal Sampling via Low-Rank Tensor Sketching Rose Yu, Sanjay Purushotham, Yan Liu {qiyu, spurusho, yanliu.cs}@usc.edu 1. Abstract

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                Source URL: roseyu.com

                - Date: 2016-12-28 18:12:31
                  49Normal Forms for Operators via Gr¨ obner Bases in Tensor Algebras Jamal Hossein Poor, Clemens G. Raab, and Georg Regensburger? Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy o

                  Normal Forms for Operators via Gr¨ obner Bases in Tensor Algebras Jamal Hossein Poor, Clemens G. Raab, and Georg Regensburger? Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy o

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                  Source URL: gregensburger.com

                  - Date: 2016-06-11 13:59:25
                    50Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Piyush Rai (Joint work with Changwei Hu, Changyou Chen, Matthew Harding, and Lawrence Carin)

                    Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Piyush Rai (Joint work with Changwei Hu, Changyou Chen, Matthew Harding, and Lawrence Carin)

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                    Source URL: people.duke.edu

                    - Date: 2015-09-09 09:43:54