Rank reduction and volume minimization approach to state-space subspace system identification.
Berkant SavasDavid LindgrenPublished in: Signal Process. (2006)
Keyphrases
- state space
- heuristic search
- dynamical systems
- input output
- markov decision processes
- reinforcement learning
- linear subspace
- particle filter
- objective function
- state variables
- high dimensional
- feature space
- dynamic programming
- markov chain
- subspace clustering
- subspace methods
- principal components
- optimal policy
- low dimensional
- markov decision process
- goal state
- rank order
- face recognition
- subspace learning
- belief state
- lower dimensional
- recurrent neural networks
- domain independent
- high dimensional data
- dimensionality reduction