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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.
Produkteigenschaften
- Artikelnummer: 9783662525630
- Medium: Buch
- ISBN: 978-3-662-52563-0
- Verlag: Springer
- Erscheinungstermin: 17.09.2016
- Sprache(n): Englisch
- Auflage: Softcover Nachdruck of the original 1. Auflage 2015
- Serie: Springer Theses
- Produktform: Kartoniert, Previously published in hardcover
- Gewicht: 1883 g
- Seiten: 99
- Format (B x H): 155 x 235 mm
- Ausgabetyp: Kein, Unbekannt