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.
| ISBN: | 9783662525630 |
| Publication date: | 17th September 2016 |
| Author: | Yue Deng |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 99 pages |
| Series: | Springer Theses |
| Genres: |
Electronics engineering Expert systems / knowledge-based systems Computer vision Digital signal processing (DSP) Algorithms and data structures Data mining Information theory |
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.
High-Dimensional and Low-Quality Visual Information Processing features in the following genres: Electronics engineering, Expert systems / knowledge-based systems, Computer vision, Digital signal processing (DSP), Algorithms and data structures, Data mining, Information theory
Paperback, Hardback. Not Available.
High-Dimensional and Low-Quality Visual Information Processing was written by Yue Deng and published by Springer an imprint of Springer Berlin Heidelberg
High-Dimensional and Low-Quality Visual Information Processing has 99 pages
Yes it is part of Springer Theses series