Sparse Manifold Learning with Applications to SAR Image Classification.
Visar BerishaNitesh ShahDonald E. WaagenHarry SchmittSalvatore BellofioreAndreas SpaniasDouglas CochranPublished in: ICASSP (3) (2007)
Keyphrases
- manifold learning
- image classification
- sparse representation
- sparse coding
- feature extraction
- high dimensional
- dictionary learning
- dimensionality reduction
- image representation
- nonlinear dimensionality reduction
- bag of words
- low dimensional
- subspace learning
- random projections
- sar images
- diffusion maps
- image features
- laplacian eigenmaps
- geodesic distance
- visual words
- dimension reduction
- head pose estimation
- high dimensional data
- underlying manifold
- locally linear embedding
- manifold structure
- semi supervised
- feature vectors
- pattern recognition
- low dimensional manifolds
- unsupervised learning
- natural images
- supervised learning
- feature space
- multiscale
- learning algorithm
- machine learning