Out-of-Sample Embedding of Spherical Manifold Based on Constrained Least Squares.
Yongpeng ZhangZenggang LinRui YaoYu ZhuHaisen LiPublished in: IScIDE (2011)
Keyphrases
- constrained least squares
- regularization parameter
- regularized least squares
- basis vectors
- negative matrix factorization
- low dimensional
- manifold learning
- spherical harmonics
- vector space
- feature space
- image restoration
- euclidean space
- small number
- high dimensional
- cross validation
- least squares
- nonnegative matrix factorization
- high dimensional data
- linear combination
- natural images
- probabilistic model
- data sets