A Novel Nonnegative Matrix Factorization Algorithm for Multi-manifold Learning.
Qian WangWensheng ChenBinbin PanYugao LiPublished in: CCBR (2016)
Keyphrases
- manifold learning
- nonnegative matrix
- low dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- diffusion maps
- dimension reduction
- feature extraction
- high dimensional
- laplacian eigenmaps
- nonnegative matrix factorization
- sparse representation
- high dimensional data
- low dimensional manifolds
- feature space
- manifold structure
- cluster analysis
- data sets
- data points
- multiscale
- image sequences
- computer vision
- learning algorithm
- manifold embedding
- machine learning