STwoCovarianceModelI Class Reference

Two covariance model. More...

#include <bsapi.h>

Inheritance diagram for STwoCovarianceModelI:

List of all members.

Public Member Functions
virtual void BSAPI_METHOD	SetWithinClassCovariance (const char *pName="CW")=0
virtual void BSAPI_METHOD	SetAcrossClassCovariance (const char *pName="CB")=0
virtual void BSAPI_METHOD	SetMean (const char *pName="mu")=0
virtual void BSAPI_METHOD	SetCount (const char *pName="count")=0
virtual void BSAPI_METHOD	SetRMatrix (const char *pName="R")=0
virtual void BSAPI_METHOD	SetSMatrix (const char *pName="S")=0
virtual void BSAPI_METHOD	SetTMatrix (const char *pName="T")=0
virtual void BSAPI_METHOD	SetUMatrix (const char *pName="U")=0
virtual bool BSAPI_METHOD	SetCovMatrixFileFormat (const char *pMatrixFileFormat="htk")=0
virtual bool BSAPI_METHOD	SetRstuMatrixFileFormat (const char *pMatrixFileFormat="htk")=0
virtual void BSAPI_METHOD	SetCovMatrixFileSuffix (const char *pMatrixFileSuffix="htk")=0
virtual void BSAPI_METHOD	SetRstuMatrixFileSuffix (const char *pMatrixFileSuffix="htk")=0
virtual void BSAPI_METHOD	SetClearWorkplace (bool clearWorkplace=true)=0
virtual void BSAPI_METHOD	SetSaveRstuMatrices (bool saveRSTUMatrices=false)=0
virtual void BSAPI_METHOD	SetAdaptConst (float adaptConst=1.0f)=0
virtual void BSAPI_METHOD	SetUseCounts (bool useCounts=false)=0

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Detailed Description

Two covariance model.

o = mu + x + y; x = N(0, CW); y = N(0, CA); The CW is within-class covariance matrix, the CA is accross class covariance matrix and N(a,b) is Normal distribution with mean a and covariance matrix b.

Examples:

vpcompare.cpp.

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The documentation for this class was generated from the following file:

• bsapi.h

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