A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels.
Martin SlawskiMostafa RahmaniPing LiPublished in: UAI (2019)
Keyphrases
- linear regression
- sparse representation
- least squares
- dictionary learning
- face recognition
- sparse coding
- compressed sensing
- regression problems
- object tracking
- image classification
- regression methods
- nonlinear regression
- ridge regression
- signal processing
- negative matrix factorization
- joint optimization
- regularized least squares
- compressive sensing
- image representation
- random projections
- high dimensional data
- training set
- regression method
- data sets
- pattern recognition
- object recognition
- dimensionality reduction
- image patches
- active learning
- convex optimization
- cross validation
- class labels