PCA of high dimensional random walks with comparison to neural network training.
Joseph M. AntogniniJascha Sohl-DicksteinPublished in: CoRR (2018)
Keyphrases
- random walk
- high dimensional
- neural network training
- dimensionality reduction
- low dimensional
- principal component analysis
- training algorithm
- neural network
- dimension reduction
- feature space
- markov chain
- directed graph
- high dimensional data
- data points
- face recognition
- data sets
- pairwise
- feature vectors
- similarity measure
- feature extraction
- optimization method
- manifold learning
- data mining
- transition probability matrix