<--- Back to Details
First PageDocument Content
Tensors / Rank / Multilinear algebra / Principal component analysis / Singular value decomposition / Numerical linear algebra / Multilinear subspace learning / Higher-order singular value decomposition / Algebra / Linear algebra / Mathematics
Date: 2009-05-13 15:14:01
Tensors
Rank
Multilinear algebra
Principal component analysis
Singular value decomposition
Numerical linear algebra
Multilinear subspace learning
Higher-order singular value decomposition
Algebra
Linear algebra
Mathematics

Add to Reading List

Source URL: www.cs.cornell.edu

Download Document from Source Website

File Size: 204,28 KB

Share Document on Facebook

Similar Documents

UNIVERSAL IDENTITIES, II: ⊗ AND ∧ KEITH CONRAD 1. Introduction We will describe how algebraic identities involving operations of multilinear algebra – the tensor product and exterior powers – can be proved by the

DocID: 1vs1s - View Document

L. De Lathauwer An Introduction to Multilinear Algebra Based Independent Component Analysis Lieven De Lathauwer

DocID: 1trD8 - View Document

Linear and Multilinear Algebra ISSN: PrintOnline) Journal homepage: http://www.tandfonline.com/loi/glma20 Intervals of special sign regular matrices Mohammad Adm & Jürgen Garloff

DocID: 1tb0g - View Document

Linear and Multilinear Algebra, 1977, Vol. 5, pp © Gordon and Breach Science Publishers Ltd., 1977 Printed in Great Britain This material may be protected by copyright law

DocID: 1sTKG - View Document

Algebra / Mathematics / Multilinear algebra / Binary operations / Linear algebra / Multivariate statistics / Cluster analysis / Tensor / Higher-order singular value decomposition / Outer product / Matrix / Boolean algebra

Data Mining and Knowledge Discovery manuscript No. (will be inserted by the editor) Clustering Boolean Tensors Saskia Metzler · Pauli Miettinen

DocID: 1r3eG - View Document