Quantity Distribution Search using Sparse Representation Generated with Kernel-based Regression.
Akinori AsaharaHideki HayashiPublished in: GISTAM (2017)
Keyphrases
- sparse representation
- dictionary learning
- sparse approximations
- sparse coding
- face recognition
- compressed sensing
- image classification
- image patches
- reconstruction error
- support vector
- pattern recognition
- random projections
- regression model
- kernel methods
- regularized least squares
- compressive sensing
- image representation
- signal processing
- image processing
- neural network
- gaussian processes
- high dimensional data
- linear combination
- negative matrix factorization
- subspace learning
- dimensionality reduction
- piecewise smooth
- joint optimization
- least squares