Achieving Certified Robustness for Brain-Inspired Low-Dimensional Computing Classifiers.
Fangfang YangShijin DuanXiaolin XuShaolei RenPublished in: INFOCOM Workshops (2023)
Keyphrases
- low dimensional
- high dimensional
- statistical parametric mapping
- dimensionality reduction
- high dimensional data
- decision trees
- training data
- linear classifiers
- support vector
- human brain
- manifold learning
- class labels
- input space
- pattern recognition
- feature selection
- classification algorithm
- feature set
- principal component analysis
- feature space
- ensemble learning
- brain images
- multiple classifiers
- test set
- neural network
- shape analysis
- classifier combination
- nonlinear dimensionality reduction
- activation detection