Invariant Integration in Deep Convolutional Feature Space.
Matthias RathAlexandru Paul CondurachePublished in: ESANN (2020)
Keyphrases
- feature space
- deep learning
- feature vectors
- high dimensionality
- high dimensional
- sparse coding
- kernel function
- feature extraction
- principal component analysis
- dimensionality reduction
- training set
- classification accuracy
- data integration
- moment invariants
- affine transformation
- information integration
- unsupervised feature learning
- deep belief networks
- dimension reduction
- kernel methods
- low dimensional
- high dimensional data
- input space
- affine invariant
- image registration
- pairwise
- high dimensional feature space
- discriminating power
- image processing
- feature selection