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Packages that use FeatureSet | |
hhreco.classification | This package provides data structures such as feature sets, training sets, as well as a classification framework for facilitating pattern classification tasks. |
hhreco.recognition | Interfaces and core classes for doing multi-stroke symbol recognition. |
Uses of FeatureSet in hhreco.classification |
Methods in hhreco.classification that return FeatureSet | |
FeatureSet |
SVMClassifier.scale(FeatureSet fvals)
Scale the given feature vector based on the scale obtained from the training set. |
Methods in hhreco.classification with parameters of type FeatureSet | |
void |
TrainingSet.addNegativeExample(java.lang.String t,
FeatureSet s)
Add a negative example to this training set for the given type. |
void |
TrainingSet.addPositiveExample(java.lang.String t,
FeatureSet s)
Add a positive example to this training set for the given type. |
void |
TrainingSet.addExample(java.lang.String t,
FeatureSet s,
int which)
Add a example to this training set for the given type (either positive or negative, denoted by the "which" argument). |
Classification |
SVMClassifier.classify(FeatureSet fs)
Classify the given example using SVM. |
FeatureSet |
SVMClassifier.scale(FeatureSet fvals)
Scale the given feature vector based on the scale obtained from the training set. |
Classification |
MMDClassifier.classify(FeatureSet s)
Classify the given example by computing the normalized Euclidean distance to each training class. |
Classification |
KNNClassifier.classify(FeatureSet s)
Classify the given example by testing it against each example in the training set. |
Classification |
Classifier.classify(FeatureSet s)
Return a classification for the specified feature set, or throw a runtime exception if the given feature set does not have the same number of features as the training examples. |
Constructors in hhreco.classification with parameters of type FeatureSet | |
DataRep(FeatureSet[] examples,
int numFeatures)
Compute the means, standard deviations, variances from the given set of feature vectors. |
Uses of FeatureSet in hhreco.recognition |
Methods in hhreco.recognition that return FeatureSet | |
static FeatureSet |
HHRecognizer.extractFeatures(FeatureExtractor[] extractors,
TimedStroke[] strokes)
Extract features from the given set of strokes. |
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