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Record Nr. |
UNINA9910299701803321 |
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Autore |
Deng Yue |
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Titolo |
High-Dimensional and Low-Quality Visual Information Processing : From Structured Sensing and Understanding / / by Yue Deng |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (108 p.) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053 |
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Disciplina |
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005.74 |
006.312 |
006.37 |
006.6 |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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