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| 001 | 94937 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102112639.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 161126s2016 sz o 100 0 eng d | ||
| 020 |
_a3319502123 _q(electronic bk.) |
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| 020 |
_a9783319502120 _q(electronic bk.) |
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| 020 |
_z9783319502113 _q(print) |
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| 035 | _a(OCoLC)964412348 | ||
| 040 |
_aEBLCP _cEBLCP _dOCLCO _dN$T _dIDEBK _dGW5XE _dOCLCF _dUAB _dOCLCQ _dOCLCO _dIOG _dESU _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa |
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| 050 | 4 |
_aQ342 _b.A383 2016 EB |
|
| 111 | 2 |
_aInternational Conference on Intelligent Information Hiding and Multimedia Signal Processing _n(12th : _d2016 : _cKao-hsiung shih, Taiwan) |
|
| 245 | 1 | 0 |
_aAdvances in Intelligent Information Hiding and Multimedia Signal Processing : _bproceeding of the Twelfth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Nov., 21-23, 2016, Kaohsiung, Taiwan _nVolume 2 _cJeng-Shyang Pan, Pei-Wei Tsai, Hsiang-Cheh Huang, editors. |
| 264 | 1 |
_aCham _bSpringer _c2016 |
|
| 300 | _a1 recurso en línea (384 páginas) | ||
| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aSmart Innovation, Systems and Technologies _vvolumen 64 |
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| 500 | _a3.2 Method Converting Spatial Spectral Information into GrayScale Images. | ||
| 500 | _aSpringerLink | ||
| 504 | _aIncluye referencias bibliográficas e índices | ||
| 505 | 0 | _aPreface; Conference Organization; Contents; Part I Image and Video Signal Processing; 1 The election of Spectrum bands in Hyper-spectral image classification; Abstract; 1 Introduction; 2 proposed approach modules; 3 process of spectrum bands election algorithm; 4 detail of spectrum bands election algorithm; 5 result of experiment; References; 2 Evaluating a Virtual Collaborative Environment for Interactive Distance Teaching and Learning: A Case Study; Abstract; Keywords; 1 Introduction; 2 Related Work; 3 The Open Wonderland; 4 Experimental Design; 5 Discussion; 6 Conclusion; 7 Acknowledgement. | |
| 505 | 8 | _a1 Introduction2 Smart Fence via ZigBee Sensors; 3 Silhouette Imaging Method; 3.1 Sensing Model; 3.2 Imaging Algorithm; 4 Results and Discussions; 4.1 Results; 4.2 Discussions; 5 Conclusion; References; 6 Gender Recognition Using Local Block Difference Pattern; Abstract; Keywords; 1 Introduction; 2 Background Review; 3 The Proposed Approach; 4 Experimental Results; 4.1 Influence of Block Number; 4.2 Comparison with Other Methods; 5 Conclusions; Acknowledgments; References; 7 DBN-based Classifcation of Spatial-spectral Hyperspectral Data; Abstract; Keywords; 1 Introduction. | |
| 505 | 8 | _a2 Spatial and Spectral Information Based HyperspectralImage Classification2.1 Structure of DBN; 2.2 Principle of the Classification Method; 2.3 Neighborhood Information Stitching Method; 2.4 Spectral-Spatial Information Stitching Method; 3 Experiments Results and Analysis; 3.1 Data Set Description; 3.2 Experimental and Results Analysis; 4 Conclusion; References; 8 Using CNN to Classify Hyperspectral Data Based on Spatial-spectral Information; Abstract; Keywords; 1 Introduction; 2 CNN; 3 Hyperspectral Image Classification Based on CNN; 3.1 Flowchart. | |
| 505 | 8 | _aAbstractKeywords; 1 Introduction; 2 Feature Representations for Photo-Realistic FaceImage; 2.1 PCA-Based Feature; 2.2 Animation Unit (AU) Parameter; 2.3 Modeling and Generation of Facial Features Using HMM; 2.4 Mapping from AU Parameters to Pixel Image Using DNN; 3 Experiments; 3.1 Database; 3.2 Relation between the amount of training data and the objectivequality; 3.3 Performance comparison between the conventional andproposed techniques; 4 Conclusions and future work; Acknowledgment; References; 5 Silhouette Imaging for Smart Fence Applications with ZigBee Sensors; Abstract; Keywords. | |
| 988 | _aEBOOK, asignarmaterias, EBSPRINGER_2017B | ||
| 650 | 7 |
_aRedes informáticas _xMedidas de seguridad _2embne _9249221 |
|
| 700 | 1 | _aHuang, Hsiang-Cheh. | |
| 700 | 1 |
_aPan, Jeng-Shyang. _997451 |
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| 700 | 1 | _aTsai, Pei-Wei. | |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-50212-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2018 _dz _e- _zSI |
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