Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Feature Learning and Understanding [[electronic resource] ] : Algorithms and Applications / / by Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang
| Feature Learning and Understanding [[electronic resource] ] : Algorithms and Applications / / by Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang |
| Autore | Zhao Haitao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 291 p. 126 illus., 109 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Information Fusion and Data Science |
| Soggetto topico |
Sociophysics
Econophysics Machine learning Computational intelligence Pattern recognition Signal processing Image processing Speech processing systems Optical data processing Data-driven Science, Modeling and Theory Building Machine Learning Computational Intelligence Pattern Recognition Signal, Image and Speech Processing Image Processing and Computer Vision |
| ISBN | 3-030-40794-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. A Gentle Introduction to Feature Learning -- Chapter2. Latent Semantic Feature Learning -- Chapter3. Principal Component Analysis -- Chapter4. Local-Geometrical-Structure-based Feature Learning -- Chapter5. Linear Discriminant Analysis -- Chapter6. Kernel-based nonlinear feature learning -- Chapter7. Sparse feature learning -- Chapter8. Low rank feature learning -- Chapter9. Tensor-based Feature Learning -- Chapter10. Neural-network-based Feature Learning: Autoencoder -- Chapter11. Neural-network-based Feature Learning: Convolutional Neural Network -- Chapter12. Neural-network-based Feature Learning: Recurrent Neural Network. |
| Record Nr. | UNISA-996418174703316 |
Zhao Haitao
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Feature Learning and Understanding : Algorithms and Applications / / by Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang
| Feature Learning and Understanding : Algorithms and Applications / / by Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang |
| Autore | Zhao Haitao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 291 p. 126 illus., 109 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Information Fusion and Data Science |
| Soggetto topico |
Sociophysics
Econophysics Machine learning Computational intelligence Pattern recognition Signal processing Image processing Speech processing systems Optical data processing Data-driven Science, Modeling and Theory Building Machine Learning Computational Intelligence Pattern Recognition Signal, Image and Speech Processing Image Processing and Computer Vision |
| ISBN | 3-030-40794-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. A Gentle Introduction to Feature Learning -- Chapter2. Latent Semantic Feature Learning -- Chapter3. Principal Component Analysis -- Chapter4. Local-Geometrical-Structure-based Feature Learning -- Chapter5. Linear Discriminant Analysis -- Chapter6. Kernel-based nonlinear feature learning -- Chapter7. Sparse feature learning -- Chapter8. Low rank feature learning -- Chapter9. Tensor-based Feature Learning -- Chapter10. Neural-network-based Feature Learning: Autoencoder -- Chapter11. Neural-network-based Feature Learning: Convolutional Neural Network -- Chapter12. Neural-network-based Feature Learning: Recurrent Neural Network. |
| Record Nr. | UNINA-9910741167703321 |
|
Zhao Haitao
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||