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Extension of the semi-algebraic framework for approximate CP decompositions via non-symmetric simultaneous matrix diagonalization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00468393" target="_blank" >RIV/67985556:_____/16:00468393 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICASSP.2016.7472222" target="_blank" >http://dx.doi.org/10.1109/ICASSP.2016.7472222</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP.2016.7472222" target="_blank" >10.1109/ICASSP.2016.7472222</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Extension of the semi-algebraic framework for approximate CP decompositions via non-symmetric simultaneous matrix diagonalization

  • Original language description

    With the increased importance of the CP decomposition (CANDECOMP / PARAFAC decomposition), efficient methods for its calculation are necessary. In this paper we present an extension of the SECSI (SEmi-algebraic framework for approximate CP decomposition via SImultaneous matrix diagonalization) that is based on new non-symmetric SMDs (Simultaneous Matrix Diagonalizations).nMoreover, two different algorithms to calculate non-symmetric SMDs are presented as examples, the TEDIA (TEnsor DIAgonalization) algorithm and the IDIEM-NS (Improved DIagonalizationnusing Equivalent Matrices-Non Symmetric) algorithm. The SECSI-TEDIA framework has an increased computational complexity but often achieves a better performance than the original SECSI framework. On the other hand, the SECSI-IDIEM framework offers a lower computational complexity while sacrificing some performance accuracy.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-13713S" target="_blank" >GA14-13713S: Tensor Decomposition Methods and Their Applications</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Proocessing

  • ISBN

    978-1-4799-9987-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    2971-2975

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Shanghai

  • Event date

    Mar 20, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000388373403023