Progress in Computer Recognition Systems / edited by Robert Burduk, Marek Kurzynski, Michał Wozniak.
Contributor(s): Burduk, Robert, editor literario
| Kurzynski, Marek, editor literario | Wozniak, Michał., editor literario | SpringerLink (Online service)
Series: (Advances in Intelligent Systems and Computing, 2194-5357 ;; 977); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (X, 372 páginas) : 139 ilustraciones,81 ilustraciones a color.ISBN: 9783030197384.Subject: Proceso digital de señalesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the most comprehensive study on this field to date, it gathers 36 carefully selected articles contributed by experts on pattern recognition. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science, artificial intelligence, and robotics.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5102.9 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks26062045 |
This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the most comprehensive study on this field to date, it gathers 36 carefully selected articles contributed by experts on pattern recognition. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science, artificial intelligence, and robotics.
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