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Beschreibung
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.
From Structured Sensing and Understanding
Details
| Verlag | Springer Berlin |
| Ersterscheinung | 18. September 2014 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 348 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783662445259 |
| Seiten | 99 |
Schlagwörter
Algorithmen und Datenstrukturen, Computer Vision, Data Mining, Data Mining and Knowledge Discovery, Data Structures and Information Theory, Digitale Signalverarbeitung (DSP), Elektronik, Informationstheorie, Maschinelles Sehen - Bildverstehen, Signal - Speech and Image Processing, Wissensbasierte Systeme - Expertensysteme
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