Learning high-dimensional correspondence via manifold learning and local approximation.
Chenping HouFeiping NieHua WangDongyun YiChangshui ZhangPublished in: Neural Comput. Appl. (2014)
Keyphrases
- manifold learning
- high dimensional
- low dimensional
- dimensionality reduction
- learning algorithm
- dimension reduction
- high dimensional data
- reinforcement learning
- nonlinear dimensionality reduction
- image processing
- feature extraction
- learning process
- active learning
- data points
- unsupervised learning
- semi supervised
- distance function
- principal component analysis
- neural network
- machine learning