Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task.
Jie YangAbdesselam BouzerdoumFok Hing Chi TiviveSon Lam PhungPublished in: IJCNN (2010)
Keyphrases
- visual recognition
- compressed sensing
- dimensionality reduction
- random projections
- sparse representation
- image reconstruction
- image classification
- object recognition
- natural images
- compressive sensing
- principal component analysis
- low dimensional
- high dimensional data
- visual recognition tasks
- dimension reduction
- high dimensional
- feature extraction
- pattern recognition
- feature selection
- signal processing
- data points
- high dimensionality
- feature space
- view independent
- higher order
- linear discriminant analysis
- hash functions
- radon transform
- image processing
- machine learning