Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey.
Benyamin GhojoghAli GhodsiFakhri KarrayMark CrowleyPublished in: CoRR (2021)
Keyphrases
- kernel learning
- semidefinite programming
- kernel matrix
- metric learning
- dimensionality reduction
- kernel methods
- kernel function
- input space
- feature space
- nonlinear dimensionality reduction
- low rank
- kernel pca
- linear programming
- model selection
- semi definite programming
- support vectors
- pairwise
- ls svm
- semi supervised
- pattern recognition
- training samples
- support vector regression
- high dimensional
- dimensionality reduction methods
- multi task
- principal components
- multiple kernel learning
- image processing
- semi supervised learning
- low dimensional
- support vector