High-Dimensional and Low-Quality Visual Information Processing From Structured Sensing and Understanding
tarafından
Deng, Yue. author.
Başlık
:
High-Dimensional and Low-Quality Visual Information Processing From Structured Sensing and Understanding
Yazar
:
Deng, Yue. author.
ISBN
:
9783662445266
Yazar
:
Deng, Yue. author.
Fiziksel Niteleme
:
XV, 99 p. 23 illus., 18 illus. in color. online resource.
Seri
:
Springer Theses, Recognizing Outstanding Ph.D. Research,
İçindekiler
:
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.
Özet
:
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.
Konu Başlığı
:
Engineering.
Data structures (Computer science).
Data mining.
Image processing.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Data Structures, Cryptology and Information Theory.
Data Mining and Knowledge Discovery.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 24516-1001 | TK5102.9 | Springer E-Book Collection |