Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning.
Benyamin GhojoghMark CrowleyPublished in: Canadian Conference on AI (2019)
Keyphrases
- subspace learning
- matrix decomposition
- low rank approximation
- dimensionality reduction
- nonnegative matrix factorization
- data representation
- low rank
- principal component analysis
- manifold learning
- low dimensional
- singular value decomposition
- semi supervised
- face recognition
- singular values
- high dimensional data
- learning algorithm
- sparse coding
- sparse representation
- high dimensionality
- prior knowledge
- high dimensional
- training set
- machine learning