High-Dimensional and Low-Quality Visual Information Processing

Name: High-Dimensional and Low-Quality Visual Information Processing
Brand: Springer Nature
SKU: 9783662445266
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Springer Nature

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9783662445266

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New

Product Description

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.

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