High-Dimensional and Low-Quality Visual Information Processing From Structured Sensing and Understanding /
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, i...
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-662-44526-6 |
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| LEADER | 03324nam a22005895i 4500 | ||
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| 001 | 978-3-662-44526-6 | ||
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| 005 | 20200701215605.0 | ||
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| 008 | 140904s2015 gw | s |||| 0|eng d | ||
| 020 | |a 9783662445266 |9 978-3-662-44526-6 | ||
| 024 | 7 | |a 10.1007/978-3-662-44526-6 |2 doi | |
| 050 | 4 | |a TK5102.9 | |
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| 082 | 0 | 4 | |a 621.382 |2 23 |
| 100 | 1 | |a Deng, Yue. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a High-Dimensional and Low-Quality Visual Information Processing |h [electronic resource] : |b From Structured Sensing and Understanding / |c by Yue Deng. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2015. | |
| 300 | |a XV, 99 p. 23 illus., 18 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Springer Theses, Recognizing Outstanding Ph.D. Research, |x 2190-5053 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Optical data processing. | |
| 650 | 0 | |a Data structures (Computer science). | |
| 650 | 0 | |a Data mining. | |
| 650 | 1 | 4 | |a Signal, Image and Speech Processing. |0 https://scigraph.springernature.com/ontologies/product-market-codes/T24051 |
| 650 | 2 | 4 | |a Image Processing and Computer Vision. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I22021 |
| 650 | 2 | 4 | |a Data Structures and Information Theory. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I15009 |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030 |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783662445273 |
| 776 | 0 | 8 | |i Printed edition: |z 9783662445259 |
| 776 | 0 | 8 | |i Printed edition: |z 9783662525630 |
| 830 | 0 | |a Springer Theses, Recognizing Outstanding Ph.D. Research, |x 2190-5053 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-662-44526-6 |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||