Landmarks-based kernelized subspace alignment for unsupervised domain adaptation.
Rahaf AljundiRémi EmonetDamien MuseletMarc SebbanPublished in: CVPR (2015)
Keyphrases
- feature space
- low dimensional
- principal component analysis
- high dimensional
- high dimensional data
- image alignment
- word alignment
- clustering high dimensional data
- dimensionality reduction
- kernel function
- subspace clustering
- dynamic time warping
- high dimensional feature space
- subspace methods
- elastic image registration
- linear subspace
- subspace learning
- landmark localization
- kernel based nonlinear
- data sets
- ontology matching
- eigendecomposition
- principal components analysis
- feature extraction
- neural network