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Subspace Methods for Pattern Recognition in Intelligent Environment
This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to ext...
| Cote: | Libro Electrónico |
|---|---|
| Collectivité auteur: | |
| Autres auteurs: | , |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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| Édition: | 1st ed. 2014. |
| Collection: | Studies in Computational Intelligence,
552 |
| Sujets: | |
| Accès en ligne: | Texto Completo |
Table des matières:
- Active Shape Model and Its Application to Face Alignment
- Condition Relaxation in Conditional Statistical Shape Models
- Independent Component Analysis and Its Application to Classification of High-Resolution Remote Sensing Images
- Subspace Construction from Artificially Generated Images for Traffic Sign Recognition
- Local Structure Preserving based Subspace Analysis Methods and Applications
- Sparse Representation for Image Super-Resolution
- Sampling and Recovery of Continuously-Defined Sparse Signals and Its Applications
- Tensor-Based Subspace Learning for Multi-Pose Face Synthesis.