A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.
Cengiz PehlevanTao HuDmitri B. ChklovskiiPublished in: Neural Comput. (2015)
Keyphrases
- subspace learning
- streaming data
- multidimensional scaling
- low dimensional
- dimensionality reduction
- neural network
- manifold learning
- data streams
- principal component analysis
- concept drift
- sliding window
- high dimensional
- high dimensional data
- pattern recognition
- data distribution
- data representation
- euclidean distance
- face recognition
- cluster analysis
- sparse representation
- dimension reduction
- data points
- feature space
- anomaly detection
- feature selection
- kernel pca
- geodesic distance
- learning algorithm
- image registration
- semi supervised
- unsupervised learning
- vector space
- reinforcement learning
- image processing
- computer vision
- data mining