Input-Output Manifold Learning with State Space Models.
Daisuke TanakaTakamitsu MatsubaraKenji SugimotoPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2016)
Keyphrases
- input output
- manifold learning
- state space
- dimensionality reduction
- subspace learning
- semi supervised
- state transition
- high dimensional
- nonlinear dimensionality reduction
- probabilistic model
- dimension reduction
- internal states
- linear combination
- sparse representation
- particle filter
- low dimensional
- principal component analysis
- learning process
- head pose estimation
- laplacian eigenmaps
- diffusion maps
- face recognition