Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries.
Zhen James XiangHao XuPeter J. RamadgePublished in: NIPS (2011)
Keyphrases
- sparse representation
- high dimensional data
- dictionary learning
- dimensionality reduction
- manifold learning
- high dimensional
- similarity search
- low dimensional
- nearest neighbor
- sparse coding
- data points
- data sets
- single image super resolution
- high dimensionality
- compressive sensing
- signal processing
- subspace learning
- learning algorithm
- original data
- dimension reduction
- real world
- subspace clustering
- data analysis
- face recognition
- high dimensional spaces
- image representation
- image classification
- supervised learning
- active learning
- neural network
- input space
- variable selection
- input data
- dimensional data
- object recognition