Compressive Sensing and Low-Rank Libraries for Classification of Bifurcation Regimes in Nonlinear Dynamical Systems.
Steven L. BruntonJonathan H. TuIdo BrightJ. Nathan KutzPublished in: SIAM J. Appl. Dyn. Syst. (2014)
Keyphrases
- low rank
- compressive sensing
- group sparsity
- nonlinear dynamical systems
- trace norm
- dictionary learning
- matrix factorization
- convex optimization
- structured sparsity
- random projections
- high dimensional data
- sparse representation
- missing data
- pattern recognition
- linear combination
- semi supervised
- high order
- singular value decomposition
- feature vectors
- image segmentation
- training set
- unsupervised learning
- support vector machine
- object recognition
- neural network
- support vector
- phase space
- feature extraction
- dimension reduction
- image classification
- feature selection
- machine learning