Initializing LSTM internal states via manifold learning.
Felix P. KemethTom BertalanNikolaos EvangelouTianqi CuiSaurabh MalaniIoannis G. KevrekidisPublished in: CoRR (2021)
Keyphrases
- manifold learning
- internal states
- input output
- dimensionality reduction
- low dimensional
- semi supervised
- dimension reduction
- high dimensional
- nonlinear dimensionality reduction
- diffusion maps
- subspace learning
- laplacian eigenmaps
- feature extraction
- geodesic distance
- high dimensional data
- sparse representation
- manifold learning algorithm
- head pose estimation
- locality preserving
- manifold structure
- discriminant projection
- manifold embedding
- data mining
- discriminant embedding
- internal state
- embedding space
- locally linear embedding
- autonomous agents
- feature selection