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[null,"1.","Record Nr.",null,"UNINA9910299701803321"]
[null,null,"Autore",null,"Deng Yue"]
[null,null,"Titolo",null,"High-Dimensional and Low-Quality Visual Information Processing : From Structured Sensing and Understanding / / by Yue Deng"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-662-44526-3"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (108 p.)"]
[null,null,"Collana",null,"Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053"]
[null,null,"Disciplina",null,"005.74"]
[{"$nulls":4},"006.312"]
[{"$nulls":4},"006.37"]
[{"$nulls":4},"006.6"]
[null,null,"Soggetti",null,"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Speech processing systems"]
[{"$nulls":4},"Optical data processing"]
[{"$nulls":4},"Data structures (Computer science)"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Signal, Image and Speech Processing"]
[{"$nulls":4},"Image Processing and Computer Vision"]
[{"$nulls":4},"Data Structures and Information Theory"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"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-"]
[{"$nulls":4},"world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing."]