Adaptive Randomized Dimension Reduction on Massive Data.
Gregory DarnellStoyan GeorgievSayan MukherjeeBarbara E. EngelhardtPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- dimension reduction
- massive data
- feature extraction
- data mining applications
- principal component analysis
- high dimensional problems
- high dimensional
- low dimensional
- manifold learning
- high dimensional data
- singular value decomposition
- big data
- feature space
- feature selection
- linear discriminant analysis
- unsupervised learning
- cluster analysis
- dimensionality reduction
- high dimensionality
- least squares
- face recognition
- computer vision
- sparse metric learning
- neural network
- learning algorithm
- information retrieval
- real world