Low-distortion Subspace Embeddings in Input-sparsity Time and Applications to Robust Linear Regression
Xiangrui MengMichael W. MahoneyPublished in: CoRR (2012)
Keyphrases
- moving objects
- linear regression
- robust regression
- least squares
- low dimensional
- high dimensional
- regression problems
- ridge regression
- regression methods
- high dimensional data
- geometric distortions
- dimensionality reduction
- nonlinear regression
- linear models
- regression method
- input data
- linear regression model
- principal component analysis
- euclidean space
- nearest neighbor
- machine learning
- subspace clustering
- three dimensional
- data points