Approximation of Markov processes by lower dimensional processes.
Ioannis TzortzisCharalambos D. CharalambousThemistoklis CharalambousChristoforos N. HadjicostisMikael JohanssonPublished in: CDC (2014)
Keyphrases
- markov processes
- lower dimensional
- stochastic processes
- low dimensional
- dimensionality reduction
- markov process
- principal component analysis
- higher dimensional
- high dimensional
- markov chain
- high dimensional data
- random fields
- stochastic process
- original data
- probability distribution
- non stationary
- random projections
- feature space
- random variables
- data sets
- higher order
- feature extraction
- face recognition
- computer vision