Random Projections for Linear Support Vector Machines.
Saurabh PaulChristos BoutsidisMalik Magdon-IsmailPetros DrineasPublished in: ACM Trans. Knowl. Discov. Data (2014)
Keyphrases
- random projections
- linear support vector machines
- logistic regression
- support vector machine
- dimensionality reduction
- dimension reduction
- linear svm
- sparse representation
- image reconstruction
- low dimensional
- principal component analysis
- hash functions
- original data
- learning problems
- random sampling
- least squares support vector machine
- decision trees
- raw data
- machine learning
- naive bayes
- support vector machine svm
- image classification
- natural language processing