Informed multimodal latent subspace learning via supervised matrix factorization.
Ramashish GauravMridula VermaKaushal Kumar ShuklaPublished in: ICVGIP (2016)
Keyphrases
- matrix factorization
- subspace learning
- subspace learning algorithm
- semi supervised
- latent factors
- learning algorithm
- dimensionality reduction
- collaborative filtering
- low rank
- recommender systems
- data representation
- manifold learning
- low dimensional
- missing data
- factorization methods
- supervised learning
- face recognition
- factor analysis
- unsupervised learning
- principal component analysis
- sparse coding
- nonnegative matrix factorization
- sparse representation
- stochastic gradient descent
- machine learning
- active learning
- latent variables
- negative matrix factorization
- feature selection
- data sets
- high dimensional data
- multiscale
- feature extraction
- tensor factorization
- pairwise
- training data