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Classifiers Overview
Sergey Kosov edited this page Mar 28, 2020
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Classifier | DGM Class | Sequential | Features (bit) |
---|---|---|---|
Naive Bayes | CTrainNodeBayes |
YES | 8 |
Gaussian Mixture Model | CTrainNodeGMM |
YES | 64 |
OpenCV Gaussian Mixture Model | CTrainNodeCvGMM |
no | 64 |
k-Nearest Neighbors | CTrainNodeKNN |
no* | 8** |
OpenCV k-Nearest Neighbors | CTrainNodeCvKNN |
no | 32 |
OpenCV Support Vector Machine | CTrainNodeCvSVM |
no | 32 |
OpenCV Random Forest | CTrainNodeCvRF |
no | 32 |
Microsoft Research Random Forest | CTrainNodeMsRF |
no | 8 / 32*** |
OpenCV Artificial Neural Network | CTrainNodeCvANN |
no | 32 |
*It is possible to implement a sequential algorithm
**It is possible to extend it up to 64-bit features
***The MS implementation uses 32-bit features, however DGM forces the features to be 8-bit