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X-Boost
2.3.8
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Files | |
| file | AbsDecisionStump.h [code] |
| A Decision Stump with Abstention Implements the class AbsDecisionStump. | |
| file | BayesianStump.h [code] |
| An hystogram based Bayesian classifier Implements the class BayesianStump for BinaryClassifier. | |
| file | BinaryClassifier.h [code] |
| A Binary Classifier. Implements the class BinaryClassifier. | |
| file | BoostableClassifier.h [code] |
| a Voting Boostable classifier | |
| file | BoostClassifier.h [code] |
| a voting for majority classifier. | |
| file | DecisionStump.h [code] |
| A (really) weak classifier. Implements the policy DecisionStump for BinaryClassifier. | |
| file | DecisionTree.h [code] |
| file | HardCascade.h [code] |
| A boosted hard cascade classifier. | |
| file | HyperplaneClassifier.h [code] |
| file | IndirectBinaryClassifier.h [code] |
| file | IndirectDecisionTree.h [code] |
| implement a decision tree with feature stored in a map | |
| file | MultiClassClassifier.h [code] |
| A classifier for Multi-Class Problem Implements the class MultiClassClassifier. | |
| file | MultiClassDecisionStump.h [code] |
| A (really) weak classifier for Multi-Class Problem Implements some MultiClassDecisionStump. | |
| file | NaiveDecisionStump.h [code] |
| A very simple decision stump with threshold 0 (could be a more luminance insesitive) Implements the class NaiveDecisionStump for BinaryClassifier. | |
| file | RealDecisionStump.h [code] |
| file | RealToDiscrete.h [code] |
| file | SimpleDecisionStump.h [code] |
| A very simple decision stump with no parity Implements the class SimpleDecisionStump for BinaryClassifier. | |
| file | SingleTree.h [code] |
| a single branch trainer of HaarTreeClassifier | |
| file | SoftCascade.h [code] |
1.8.7