First Page | Document Content | |
---|---|---|
Date: 2014-12-10 11:27:59Tensors Matrix theory Numerical linear algebra Dimension reduction Singular value decomposition Rank Trace Outer product Principal component analysis Algebra Linear algebra Mathematics | Approximate Low-Rank Tensor Learning Yaoliang Yu Dept of Machine Learning Carnegie Mellon University [removed]Add to Reading ListSource URL: www.opt-ml.orgDownload Document from Source WebsiteFile Size: 273,58 KBShare Document on Facebook |
Polynomial Time Interactive Proofs for Linear Algebra with Exponential Matrix Dimensions and Scalars Given by Polynomial Time Circuits In memory of Wen-tsun Wu–Jean-Guillaume DumasDocID: 1xUE0 - View Document | |
1 Roadmap for the Development of a Linear Algebra Library for Exascale Computing SLATE: Software for Linear Algebra Targeting ExascaleDocID: 1xUyc - View Document | |
Recent Progress in Linear Algebra and Lattice Basis Reduction Gilles Villard CNRS, ENS de Lyon, INRIA, UCBL, Université de Lyon Laboratoire LIPDocID: 1xUmT - View Document | |
3 Designing SLATE SLATE: Software for Linear Algebra Targeting Exascale Jakub Kurzak Panruo WuDocID: 1xT5s - View Document | |
9. Linear Algebra Po-Shen Loh CMU Putnam Seminar, FallDocID: 1vrLR - View Document |