Robust Representation for Data Analytics
Autor: | Sheng Li, Yun Fu |
---|---|
EAN: | 9783319601762 |
eBook Format: | |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 09.08.2017 |
Untertitel: | Models and Applications |
Kategorie: | |
Schlagworte: | Graph Construction Multi-view Learning Outlier Detection Robust Representations Subspace Learning |
117,69 €*
Versandkostenfrei
Die Verfügbarkeit wird nach ihrer Bestellung bei uns geprüft.
Bücher sind in der Regel innerhalb von 1-2 Werktagen abholbereit.
Leveraging the theory of low-rank and sparse modeling, the authors develop robust feature representations under various learning paradigms, including unsupervised learning, supervised learning, semi-supervised learning, multi-view learning, transfer learning, and deep learning. Robust Representations for Data Analytics covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.