Kernel subspace alignment for unsupervised domain adaptation.
Mingwei XuSongsong WuXiao-Yuan JingJing-Yu YangPublished in: ICIP (2015)
Keyphrases
- kernel based nonlinear
- feature space
- kernel pca
- kernel space
- kernel methods
- kernel function
- profile hidden markov models
- image alignment
- low dimensional
- hilbert space
- subspace learning
- dot product
- principal component analysis
- dimensionality reduction
- feature extraction
- support vector
- subspace clustering
- sequence alignment
- component analysis
- principal components analysis
- gaussian processes
- subspace methods
- dynamic time warping
- principal components
- high dimensional
- high dimensional data
- lower dimensional
- linear subspace
- convolution kernel