Using PCA to Efficiently Represent State Spaces.
William CurranTim BrysMatthew E. TaylorWilliam D. SmartPublished in: CoRR (2015)
Keyphrases
- state space
- principal component analysis
- dimensionality reduction
- feature extraction
- independent component analysis
- high dimensional
- principal components analysis
- principal components
- dimension reduction
- markov chain
- face recognition
- face images
- covariance matrix
- linear discriminant analysis
- genetic algorithm
- machine learning
- lower dimensional
- neural network