Deng, Yue. <br/><br/>
High-Dimensional and Low-Quality Visual Information Processing  From Structured Sensing and Understanding /  [electronic resource] : 
by Yue Deng. 
 - XV, 99 p. 23 illus., 18 illus. in color.  online resource. 
 - Springer Theses, Recognizing Outstanding Ph.D. Research,  2190-5053 .
 - Springer Theses, Recognizing Outstanding Ph.D. Research, .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783662445266 
<br/><br/><label>Standard No.: </label>10.1007/978-3-662-44526-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Data structures (Computer science).<br/>Data mining.<br/>Image processing.<br/>Engineering.<br/>Signal, Image and Speech Processing.<br/>Image Processing and Computer Vision.<br/>Data Structures, Cryptology and Information Theory.<br/>Data Mining and Knowledge Discovery.
<br/><br/><label>LC Class. No.: </label>TK5102.9 TA1637-1638 TK7882.S65 
<br/><br/><label>Dewey Class. No.: </label>621.382