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Michael Georgiopoulos – författare

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3 produkter

  1. Niels da Vitoria Lobo, Takis Kasparis, Michael Georgiopoulos, Fabio Roli, James Kwok, Georgios C. Anagnostopoulos, Marco Loog - Structural, Syntactic, and Statistical Pattern Recognition, Häftad. Tillgänglighet: Lägg i varukorg

    Structural, Syntactic, and Statistical Pattern Recognition

    Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings

    Av Niels da Vitoria Lobo, Takis Kasparis m. fl.

    Häftad, 2008

    1128 kr

    Lägg i varukorg

    This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains 98 papers presented at the S+SSPR 2008 workshops. S+SSPR 2008 was the sixth time that the SPR and SSPR workshops organized by Technical Committees, TC1 and TC2, of the International Association for Pattern Rec- …

  2. Marco Loog, Georgios C. Anagnostopoulos, James Kwok, Fabio Roli, Michael Georgiopoulos, Takis Kasparis, Niels da Vitoria Lobo - Structural, Syntactic, and Statistical Pattern Recognition, E-bok. Tillgänglighet: Lägg i varukorg

    Structural, Syntactic, and Statistical Pattern Recognition

    Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings

    Av Marco Loog, Georgios C. Anagnostopoulos m. fl.

    E-bok, 2008

    1459 kr

    Lägg i varukorg

    This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains 98 papers presented at the S+SSPR 2008 workshops. S+SSPR 2008 was the sixth time that the SPR and SSPR workshops organized by Technical Committees, TC1 and TC2, of the International Association for Pattern Rec- …

  3. Christos Christodoulou, Michael Georgiopoulos - Applications Of Neural Networks in Electromagnetics, Inbunden. Tillgänglighet: Tillfälligt slut

    Applications Of Neural Networks in Electromagnetics

    Av Christos Christodoulou, Michael Georgiopoulos

    Inbunden, 2000

    1212 kr

    Tillfälligt slut

    An explanation of how the high-speed capabilities and "learning" abilities of neural networks can be applied to solving numerous complex optimization problems in electromagnetics. It seeks to help the reader understand the basics and strengths and limitations of each main network architecture in …