Fully Supervised Non-Negative Matrix Factorization for Feature Extraction.
Woody AustinDylan AndersonJoydeep GhoshPublished in: IGARSS (2018)
Keyphrases
- negative matrix factorization
- fully supervised
- feature extraction
- principal component analysis
- weakly supervised
- semi supervised
- labeled data
- matrix factorization
- selective sampling
- sparse representation
- face recognition
- metric learning
- feature vectors
- feature selection
- document clustering
- image classification
- dimensionality reduction
- pattern recognition
- image processing
- low dimensional
- semi supervised learning
- feature space
- training data
- natural images
- unlabeled data
- spectral clustering
- active learning
- superpixels
- information retrieval