Uses of Class
be.ac.ulg.montefiore.run.jahmm.ObservationVector

Packages that use ObservationVector
be.ac.ulg.montefiore.run.jahmm This package is an Hidden Markov Model implementation. 
be.ac.ulg.montefiore.run.jahmm.io This package holds classes that read and write Hidden Markov Model-related objects. 
 

Uses of ObservationVector in be.ac.ulg.montefiore.run.jahmm
 

Methods in be.ac.ulg.montefiore.run.jahmm that return ObservationVector
 ObservationVector ObservationVector.clone()
           
 ObservationVector OpdfMultiGaussian.generate()
           
 ObservationVector ObservationVector.minus(ObservationVector o)
          Returns a new observation that is the difference between this observation and another one.
 ObservationVector ObservationVector.plus(ObservationVector o)
          Returns a new observation that is the sum of this observation and another one.
 ObservationVector ObservationVector.times(double c)
          Returns a new observation that is the product of this observation by a scalar.
 

Methods in be.ac.ulg.montefiore.run.jahmm that return types with arguments of type ObservationVector
 Centroid<ObservationVector> ObservationVector.factor()
          Returns the centroid matching this observation.
 

Methods in be.ac.ulg.montefiore.run.jahmm with parameters of type ObservationVector
 double CentroidObservationVector.distance(ObservationVector e)
          Returns the distance between this centroid and an element.
 void OpdfMultiGaussian.fit(ObservationVector... oa)
           
 void OpdfMultiGaussian.fit(ObservationVector[] o, double[] weights)
           
 ObservationVector ObservationVector.minus(ObservationVector o)
          Returns a new observation that is the difference between this observation and another one.
 ObservationVector ObservationVector.plus(ObservationVector o)
          Returns a new observation that is the sum of this observation and another one.
 double OpdfMultiGaussian.probability(ObservationVector o)
           
 void CentroidObservationVector.reevaluateAdd(ObservationVector e, java.util.List<? extends ObservationVector> v)
           
 void CentroidObservationVector.reevaluateRemove(ObservationVector e, java.util.List<? extends ObservationVector> v)
           
 

Method parameters in be.ac.ulg.montefiore.run.jahmm with type arguments of type ObservationVector
 void OpdfMultiGaussian.fit(java.util.Collection<? extends ObservationVector> co)
           
 void OpdfMultiGaussian.fit(java.util.Collection<? extends ObservationVector> co, double[] weights)
           
 void CentroidObservationVector.reevaluateAdd(ObservationVector e, java.util.List<? extends ObservationVector> v)
           
 void CentroidObservationVector.reevaluateRemove(ObservationVector e, java.util.List<? extends ObservationVector> v)
           
 

Constructors in be.ac.ulg.montefiore.run.jahmm with parameters of type ObservationVector
CentroidObservationVector(ObservationVector o)
          Creates a new centroid that represents the mean value of a set of ObservationVectors.
 

Uses of ObservationVector in be.ac.ulg.montefiore.run.jahmm.io
 

Methods in be.ac.ulg.montefiore.run.jahmm.io that return ObservationVector
 ObservationVector ObservationVectorReader.read(java.io.StreamTokenizer st)
          An ObservationInteger reader, as explained in ObservationReader.
 

Methods in be.ac.ulg.montefiore.run.jahmm.io with parameters of type ObservationVector
 void ObservationVectorWriter.write(ObservationVector observation, java.io.Writer writer)
           
 



Copyright © 2004,2005 Jean-Marc François.