Sprache: Englisch
Verlag: Heidelberg/New York, NY/Dordrecht/London/Berlin, Springer., 2015
ISBN 10: 3662445255 ISBN 13: 9783662445259
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
24 cm. XV, 99 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stemped. Springer theses. Sprache: Englisch.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 60,02
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 77,62
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2015 edition. 116 pages. 9.25x6.10x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2014
ISBN 10: 3662445255 ISBN 13: 9783662445259
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing.