Keyphrases
- kernel based nonlinear
- feature space
- kernel pca
- kernel function
- kernel space
- profile hidden markov models
- kernel methods
- quantum computing
- dot product
- hilbert space
- subspace learning
- low dimensional
- principal component analysis
- dimensionality reduction
- feature extraction
- quantum computation
- subspace clustering
- lower dimensional
- high dimensional data
- high dimensional
- dynamic time warping
- global alignment
- eigendecomposition
- input space
- kernel matrix
- kernel regression
- component analysis
- linear subspace
- image alignment
- kernel machines
- subspace methods
- feature vectors
- semi supervised
- reproducing kernel hilbert space
- quantum inspired
- positive semi definite
- sequence alignment