Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification.
Azadeh AlaviArnold WiliemKun ZhaoBrian C. LovellConrad SandersonPublished in: CoRR (2014)
Keyphrases
- random projections
- image classification
- sparse representation
- dictionary learning
- manifold learning
- sparse coding
- low dimensional
- riemannian manifolds
- dimensionality reduction
- dimension reduction
- feature extraction
- image representation
- bag of words
- euclidean space
- high dimensional
- principal component analysis
- image features
- high dimensional data
- vector space
- original data
- feature space
- log euclidean
- image reconstruction
- face recognition
- random sampling
- high dimensionality
- signal processing
- active learning
- hash functions
- data analysis
- object recognition
- multiscale
- riemannian metric
- feature selection
- matrix valued