A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices.
Shijin DuanXiaolin XuShaolei RenPublished in: CoRR (2022)
Keyphrases
- low dimensional
- high dimensional
- feature space
- high dimensional data
- statistical parametric mapping
- training data
- classification algorithm
- dimensionality reduction
- training samples
- input space
- manifold learning
- training examples
- feature selection
- principal component analysis
- mobile devices
- training set
- support vector
- decision trees
- human brain
- bayesian networks
- learning algorithm
- belief networks
- inference process
- class labels
- data points
- euclidean space
- bayesian inference
- classification scheme
- graph embedding
- support vector machine