High-Dimensional and Low-Quality Visual Information Processing - From Structured Sensing and Understanding (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Theses
Release date:	September 2014
First published:	2015
Authors:	Yue Deng
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Hardcover
Pages:	99
Edition:	2015 ed.
ISBN-13:	978-3-662-44525-9
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-662-44525-5
Barcode:	9783662445259

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