Rotated face recognition by manifold learning with auto-associative neural network.
Mizuki ItoWataru OhyamaTetsushi WakabayashiFumitaka KimuraPublished in: FCV (2015)
Keyphrases
- auto associative
- manifold learning
- neural network
- face recognition
- discriminant embedding
- subspace learning
- sparse representation
- feature extraction
- locality preserving projections
- associative memory
- low dimensional
- dimensionality reduction
- locality preserving
- diffusion maps
- high dimensional
- dimension reduction
- semi supervised
- linear discriminant analysis
- nonlinear dimensionality reduction
- artificial neural networks
- laplacian eigenmaps
- face images
- head pose estimation
- principal component analysis
- discriminant analysis
- high dimensional data
- computer vision
- neural network model
- pattern classification
- neighborhood preserving embedding
- locally linear embedding
- linear subspace
- manifold structure
- geodesic distance
- sparse coding
- preprocessing
- data analysis
- image processing
- genetic algorithm
- machine learning