A semi-algebraic framework for approximate CP decompositions via joint matrix diagonalization and generalized unfoldings - researchr publication related

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Florian Roemer, Carola Schroeter, Martin Haardt. A semi-algebraic framework for approximate CP decompositions via joint matrix diagonalization and generalized unfoldings. In Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers, ACSCC 2012, Pacific Grove, CA, USA, November 4-7, 2012. pages 2023-2027, IEEE, 2012. [doi]

The following publications are possibly variants of this publication:

Extension of the semi-algebraic framework for approximate CP decompositions via simultaneous matrix diagonalization to the efficient calculation of coupled CP decompositionsKristina Naskovska, Martin Haardt. acssc 2016: 1728-1732 [doi]

Extension of the semi-algebraic framework for approximate CP decompositions via non-symmetric simultaneous matrix diagonalizationKristina Naskovska, Martin Haardt, Petr Tichavský, Gilles Chabriel, Jean Barrère. icassp 2016: 2971-2975 [doi]

Analytical performance analysis of the Semi-Algebraic framework for approximate CP decompositions via SImultaneous matrix diagonalizations (SECSI)Sher Ali Cheema, Emilio Rafael Balda, Amir Weiss, Arie Yeredor, Martin Haardt. acssc 2017: 703-707 [doi]

A semi-algebraic framework for approximate CP decompositions via simultaneous matrix diagonalizations (SECSI)Florian Roemer, Martin Haardt. sigpro, 93(9):2722-2738, 2013. [doi]

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