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

Zhang, Zemin.


  • 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 ... read more
This object is in collection Creator department Thesis Type Genre Permanent URL
To Cite:
DCA Citation Guide    EndNote