A Novel Algebraic Framework for Processing Multidimensional Data: Theory and Application

Zhang, Zemin.
2017-04-18T11:39:47.215Z

Abstract: Tensor related analysis and applications are more and more popular in computer vision, machine learning, data mining, psychometrics, signal processing and other areas. In this thesis, we first investigate a recently proposed tensor algebraic framework, in which one can obtain a factorization for multidimensional data, referred to as the tensor-SVD (t-SVD) as similar to the Singular Value... read more

Subjects
Tufts University. Department of Electrical and Computer Engineering.
Permanent URL
http://hdl.handle.net/10427/011204
ID: tufts:20679
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