Keyphrases
- scale invariant
- semi parametric
- principal component analysis
- high dimensional
- low dimensional
- dimensionality reduction
- feature space
- keypoints
- affine invariant
- natural images
- scale space
- principal components
- density estimation
- multiscale
- statistical inference
- regression model
- high dimensional data
- constrained optimization
- kernel principal component analysis
- linear model
- least squares
- local binary pattern
- face images
- regression problems
- input space
- image structure
- face recognition
- feature extraction
- data points
- texture images
- kernel function
- nearest neighbor
- pattern recognition
- invariant features
- texture classification
- affine transformation
- machine learning
- higher order
- image features
- similarity measure
- feature selection