A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator.
Mingu KangSujan K. GonugondlaSungmin LimNaresh R. ShanbhagPublished in: IEEE J. Solid State Circuits (2018)
Keyphrases
- multi class
- random forest
- base classifiers
- random forests
- decision trees
- feature set
- binary classification
- ensemble learning
- ensemble methods
- multi class classification
- feature selection
- support vector machine
- cost sensitive
- multi label
- multiple classes
- pairwise
- object detection
- binary classifiers
- fold cross validation
- error correcting output codes
- bayesian networks
- multi class classifier
- computer vision
- classification accuracy
- training set
- object recognition
- feature extraction