Neural correlates of sparse coding and dimensionality reduction.
Michael BeyelerEmily L. RoundsKristofor D. CarlsonNikil D. DuttJeffrey L. KrichmarPublished in: PLoS Comput. Biol. (2019)
Keyphrases
- sparse coding
- dimensionality reduction
- sparse representation
- unsupervised learning
- high dimensional
- dictionary learning
- feature space
- subspace learning
- manifold structure
- natural images
- image classification
- linear combination
- high dimensional data
- single image super resolution
- generative model
- principal component analysis
- feature extraction
- random projections
- neural network
- sparse codes
- data points
- low dimensional
- image patches
- principal components
- feature selection
- image representation
- object category recognition
- manifold learning
- pattern recognition
- computer vision
- higher order
- metric learning
- face recognition
- data sets