On the classification of unitals on 28 points of low rank.
Vladimir D. TonchevAlfred WassermannPublished in: Appl. Algebra Eng. Commun. Comput. (2022)
Keyphrases
- low rank
- convex optimization
- matrix factorization
- matrix completion
- decision trees
- linear combination
- pattern recognition
- missing data
- low rank matrix
- rank minimization
- high dimensional data
- support vector
- semi supervised
- high order
- singular value decomposition
- feature space
- feature extraction
- machine learning
- matrix decomposition
- image classification
- text classification
- support vector machine
- high dimensional
- structure from motion
- kernel matrix
- feature selection
- data sets