Learning a Manifold Regression Model for Classifying High-dimensional Data.
A. ElkhoumriC. SamirJalal LaassiriPublished in: ISIVC (2018)
Keyphrases
- high dimensional data
- regression model
- low dimensional
- high dimensional
- learning algorithm
- dimensionality reduction
- manifold learning
- input space
- locally weighted
- nonlinear dimensionality reduction
- nearest neighbor
- subspace clustering
- high dimensional spaces
- active learning
- data analysis
- similarity search
- multivariate regression
- sparse representation
- data points
- feature extraction
- computer vision
- subspace learning
- high dimensional datasets
- pattern recognition
- high dimensional data sets