Learning Hierarchical Sparse Representations using Iterative Dictionary Learning and Dimension Reduction
Mohamad TarifiMeera SitharamJeffery HoPublished in: CoRR (2011)
Keyphrases
- dictionary learning
- sparse representation
- dimension reduction
- sparse coding
- random projections
- group sparsity
- high dimensional data
- manifold learning
- unsupervised learning
- single image super resolution
- sparse codes
- image classification
- negative matrix factorization
- feature extraction
- face recognition
- compressive sensing
- singular value decomposition
- text classification
- low dimensional
- principal component analysis
- supervised learning
- active learning
- pairwise
- data analysis
- pattern recognition
- reinforcement learning
- learning algorithm
- natural images
- data sets
- dimensionality reduction
- image patches
- small number
- high dimensional
- computer vision