Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.
Kilian Q. WeinbergerBenjamin PackerLawrence K. SaulPublished in: AISTATS (2005)
Keyphrases
- semidefinite programming
- matrix factorization
- nonlinear dimensionality reduction
- kernel matrix
- low rank
- high dimensional data
- manifold learning
- collaborative filtering
- dimensionality reduction
- kernel learning
- low dimensional
- recommender systems
- missing data
- nonnegative matrix factorization
- kernel methods
- reproducing kernel hilbert space
- feature space
- negative matrix factorization
- locally linear embedding
- input space
- kernel function
- metric learning
- linear combination
- model selection
- high dimensional
- support vector
- data analysis
- euclidean space
- nearest neighbor
- principal component analysis
- data sets
- sparse representation