A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition
Sparse model identification by means of data is especially cumbersome if the sought dynamics live in a high dimensional space. This usually involves the need for large amount of data, unfeasible in such a high dimensional settings. This well-known phenomenon, coined as the curse of dimensionality, i...
Saved in:
| Main Authors: | Rubén Ibáñez, Emmanuelle Abisset-Chavanne, Amine Ammar, David González, Elías Cueto, Antonio Huerta, Jean Louis Duval, Francisco Chinesta |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/5608286 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors
by: Samiul Alam, et al.
Published: (2023-01-01) -
Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
by: Y. P. Aslamov, et al.
Published: (2019-06-01) -
Sparse scalegram decomposition algorithm for condition monitoring of rotary equipment
by: Y. P. Aslamov, et al.
Published: (2019-07-01) -
Feature extraction using sparse component decomposition for face classification
by: Hamid Reza Shahdoosti
Published: (2023-09-01) -
DOA estimation based on geometric sequence decomposition and sparse reconstruction
by: Jin HOU, et al.
Published: (2023-01-01)