Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling.
Javier S. TurekAlexander G. HuthPublished in: CVPR (2018)
Keyphrases
- sparse representation
- dictionary learning
- sparse coding
- manifold learning
- image classification
- sparse reconstruction
- random projections
- joint optimization
- regularized least squares
- subspace learning
- high dimensional data
- compressed sensing
- negative matrix factorization
- compressive sensing
- euclidean distance
- face recognition
- test images
- reconstruction error
- image patches
- generative model
- higher order
- machine learning
- data sets
- image reconstruction
- image representation
- dimensionality reduction
- high dimensional