High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding - Springer Theses (Paperback)Yue Deng (author)
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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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 99
Weight: 1883 g
Dimensions: 235 x 155 x 6 mm
Edition: Softcover reprint of the original 1st ed. 201
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