Asymptotic optimality and minimal complexity of classification by random projection.
Mireille BoutinEvzenie CoupkovaPublished in: CoRR (2021)
Keyphrases
- random projections
- asymptotic optimality
- dimension reduction
- asymptotically optimal
- dimensionality reduction
- image classification
- pattern recognition
- support vector machine
- feature space
- high dimensionality
- feature selection
- feature extraction
- worst case
- support vector
- model selection
- random sampling
- support vector machine svm
- unsupervised learning
- text classification
- neural network
- principal component analysis
- scheduling problem
- feature vectors