Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables.
Keisuke FujiiYoshinobu KawaharaPublished in: CoRR (2018)
Keyphrases
- vector valued
- reproducing kernel hilbert space
- wavelet packet
- loss function
- euclidean space
- gaussian process
- scale space
- kernel function
- data dependent
- kernel methods
- density estimation
- learning theory
- special case
- domain adaptation
- distance measure
- denoising
- input space
- real valued
- filter bank
- model selection
- image segmentation