A second order polynomial based subspace projection method for dimensionality reduction.
Praveen SankaranVijayan K. AsariPublished in: ICIP (2010)
Keyphrases
- dimensionality reduction
- projection method
- linear projection
- low dimensional
- high dimensional data
- principal component analysis
- subspace learning
- high dimensional
- lower dimensional
- feature extraction
- principal components
- high dimensionality
- feature space
- harmonic functions
- pattern recognition
- higher order
- linear dimensionality reduction
- input space
- data points
- dimensionality reduction methods
- feature selection
- data representation
- linear discriminant analysis
- dimension reduction
- random projections
- semi supervised dimensionality reduction
- manifold learning
- locality preserving projections
- pattern recognition and machine learning
- subspace clustering
- linear subspace
- nonlinear dimensionality reduction
- sparse representation
- nearest neighbor
- principal components analysis
- optimization criterion
- clustering algorithm
- computer vision
- machine learning
- high order
- image segmentation