论文信息 - SPARSE TENSORS DECOMPOSITION SOFTWARE

SPARSE TENSORS DECOMPOSITION SOFTWARE

The purpose of this project was to build a software package that could be used as an alternative to the MATLAB Tensor Toolbox for high-order sparse tensor parallel factor analysis. The software package will also be used as a tool to incorporate nonnegative tensor factorization into a text visualization environment called FutureLens. The project was written in Python, an interpreted, object-oriented language. To test the software and evaluate its performance, the IEEE VAST 2007 contest dataset was used along with the Python profiler.

Papa S Diaw | P. S. Diaw

[1] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .

[2] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..

[3] T. Kolda. Multilinear operators for higher-order decompositions , 2006 .

[4] Hans Petter Langtangen,et al. A Primer on Scientific Programming with Python , 2009 .

[5] Andrey A. Puretskiy,et al. Scenario Discovery Using Nonnegative Tensor Factorization , 2008, CIARP.

[6] Hans Petter Langtangen,et al. Python scripting for computational science , 2004 .