High-Dimensional and Low-Quality Visual Information Processing

From Structured Sensing and Understanding
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ISBN-13:
9783662445259
Veröffentl:
2014
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
18.09.2014
Seiten:
116
Autor:
Yue Deng
Gewicht:
348 g
Format:
241x160x13 mm
Serie:
Springer Theses
Sprache:
Englisch
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.
Nominated by Tsinghua University as an outstanding Ph.D. thesis
Introduction.- Sparse Structure for Visual Signal Sensing.- Graph Structure for Visual Signal Sensing.- Discriminative Structure for Visual Signal Understanding.- Information Theoretic Structure for Visual Signal Understanding.- Conclusions.

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