A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.
Cengiz PehlevanTao HuDmitri B. ChklovskiiPublished in: CoRR (2015)
Keyphrases
- subspace learning
- streaming data
- multidimensional scaling
- low dimensional
- dimensionality reduction
- neural network
- manifold learning
- data streams
- principal component analysis
- sliding window
- concept drift
- high dimensional data
- high dimensional
- data representation
- pattern recognition
- dimension reduction
- face recognition
- sparse representation
- euclidean distance
- data distribution
- kernel pca
- euclidean space
- data points
- vector space
- feature space
- semi supervised
- non stationary
- geodesic distance
- small number
- data sets