High-Dimensional and Low-Quality Visual Information Processing : From Structured Sensing and Understanding / / by Yue Deng

• Autore: Deng Yue
• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015
• Edizione: 1st ed. 2015.
• Descrizione fisica: 1 online resource (108 p.)
• Disciplina: 005.74; 006.312; 006.37; 006.6
• Soggetto topico: Signal processing; Image processing; Speech processing systems; Optical data processing; Data structures (Computer science); Data mining; Signal, Image and Speech Processing; Image Processing and Computer Vision; Data Structures and Information Theory; Data Mining and Knowledge Discovery
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: High-Dimensional and Low-Quality Visual Information Processing
• ISBN: 3-662-44526-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299701803321
• Lo trovi qui: Univ. Federico II
• Serie: Springer Theses, Recognizing Outstanding Ph.D. Research, . 2190-5053