Uses of Class
hhreco.classification.FeatureSet

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.