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| 008 | 160224s2016 si | s |||| 0|eng d | ||
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_aTA1634 _b.C446 2016 EB |
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| 082 | 0 | 4 | _a621.382 |
| 100 | 1 |
_aChen, Chen _0Local _9100841 |
|
| 245 | 1 | 0 |
_aBig Visual Data Analysis : _bScene Classification and Geometric Labeling _cby Chen Chen, Yuzhuo Ren, C-C Jay Kuo |
| 250 | _a1st ed. | ||
| 260 |
_aSingapore _bSpringer _c2016 |
||
| 300 | _a1 recurso en línea (X, 122 p.) 94 il., 12 il. col. | ||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aSpringerBriefs in Electrical and Computer Engineering _x2191-8112 |
|
| 520 | _aThis book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks. | ||
| 942 |
_2lcc _cLE |
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| 988 | _aEBOOK, EBSPRINGER | ||
| 650 | 7 |
_aVisión por ordenador _0comprobar BNE20020695437 _2embne _9159793 |
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| 700 | 1 |
_aRen, Yuzhuo _9100842 _0Local |
|
| 700 | 1 |
_aKuo, C.-C. Jay _9100843 _0Local |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-981-10-0631-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_a.b12960962 _b10-10-17 _c21-11-16 |
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