Nonnegative Matrix Factorization for Semi-supervised Dimensionality Reduction
Youngmin ChoLawrence K. SaulPublished in: CoRR (2011)
Keyphrases
- nonnegative matrix factorization
- semi supervised dimensionality reduction
- semi supervised
- graph embedding
- dimensionality reduction
- data representation
- principal component analysis
- negative matrix factorization
- matrix factorization
- pattern recognition and machine learning
- least squares
- semi supervised learning
- pairwise
- spectral clustering
- sparse representation
- labeled data
- original data
- supervised learning
- high dimensional
- objective function
- unlabeled data
- active learning
- information retrieval
- neural network
- unsupervised learning
- pattern recognition
- subspace learning
- information retrieval systems
- latent dirichlet allocation
- face recognition