Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space.
Suyash P. AwateNishanth N. KoushikPublished in: ECML/PKDD (1) (2016)
Keyphrases
- dictionary learning
- feature space
- sparse coding
- sparse representation
- kernel function
- natural images
- kernel methods
- image representation
- sparsity constraints
- data points
- object category recognition
- feature selection
- input space
- graph embedding
- sparse codes
- group sparsity
- linear combination
- image classification
- input data
- higher order
- high dimensional
- gaussian mixture model
- multiscale
- pattern recognition
- feature vectors
- face recognition
- support vector
- kernel pca
- kernel matrix
- prior knowledge
- support vector machine
- image patches
- visual words
- dimensionality reduction