Image classification using manifold learning based non-linear dimensionality reduction.
Ainuddin FaaeqHuseyin GurulerMusa PekerPublished in: SIU (2018)
Keyphrases
- manifold learning
- image classification
- feature extraction
- sparse representation
- nonlinear dimensionality reduction
- high dimensional
- dimensionality reduction
- low dimensional
- semi supervised
- image representation
- bag of words
- diffusion maps
- sparse coding
- subspace learning
- dimension reduction
- image features
- laplacian eigenmaps
- head pose estimation
- principal component analysis
- semi supervised learning
- low dimensional manifolds
- face recognition
- geodesic distance
- visual words
- feature vectors
- feature space
- locally linear embedding
- manifold structure
- locality preserving projections
- preprocessing
- neural network
- manifold embedding
- nonlinear manifold
- discriminant embedding