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Common and Unique Tensor Factorization, AAAI 2017

Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization, Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, {USA.}

Tensor Toolbox

Please download tensor toolbox from http://www.sandia.gov/~tgkolda/TensorToolbox/index-2.6.html

Matlab Codes for CUTF, AAAI17

Please contact the first author of the poster for any difficulties

The main Executable File is CUTF.m

Size of training and testing data can be changed manually, line: 12-13 Total_Training_images=5000; Total_Testing_images=1000;

Parameters for obtaining low rank are located between lines: 15-19 Row_Rank_Coupled=8; Row_Rank_Individual=8; Col_Rank_Coupled=8; Col_Rank_Individual=8;

Requires Parallel computing toolbox of Matlab

Classification categories are manually selected

Line no: 44 index=[9 10;4 6;1 2;3 8;1 9;5 6;6 8;2 9;2 10;3 4;5 8;3 7;6 7];