Spatial and Hierarchical Riemannian Dimensionality Reduction and Dictionary Learning for Segmenting Multichannel Images.
Faezeh FallahKarim ArmaniousBin YangFabian BambergPublished in: EUSIPCO (2019)
Keyphrases
- dictionary learning
- dimensionality reduction
- sparse representation
- sparse coding
- manifold learning
- unsupervised learning
- high dimensional data
- graph embedding
- low dimensional
- principal component analysis
- high dimensional
- feature space
- spatial information
- pattern recognition
- feature extraction
- data points
- image patches
- euclidean distance
- feature selection
- image segmentation
- linear combination
- training set
- maximum likelihood
- test images
- multiscale
- face recognition
- riemannian manifolds
- data sets