GeneralTools.cpp File Reference

#include <iostream>
#include <fstream>
#include <cstdio>
#include <cassert>
#include <cmath>
#include "liatools.h"

Include dependency graph for GeneralTools.cpp:

Go to the source code of this file.

Defines
#define	ALIZE_GeneralTools_cpp
Functions
double	computeEntropy (Histo &hist)
double	computeMean (Histo &hist)
long	setDecision (double LLRClient, double decisionThreshold)
int	_compF (const void *op1, const void *op2)
bool	baggedFrame (double baggedFrameProbability)
unsigned long	correctedLength (unsigned long length, unsigned long &minimumLength, unsigned long &maximumLength)
void	baggedSegmentsConstraint (SegCluster &selectedSegments, SegCluster &baggedFrameSegment, double baggedProbability, unsigned long minimumLength, unsigned long maximumLength)
void	baggedSegments (SegCluster &selectedSegments, SegCluster &baggedSeg, unsigned long nbBagged, double &baggedProbability, unsigned long minimumLength, unsigned long maximumLength)
void	baggedSegments (SegCluster &selectedSegments, SegCluster &baggedFrameSegment, double baggedProbability, unsigned long minimumLength, unsigned long maximumLength)
void	baggedSegments (SegCluster &selectedSegments, SegCluster &baggedSelected, SegCluster &baggedUnselected, double baggedProbability, unsigned long minimumLength, unsigned long maximumLength)
double	meanLikelihood (StatServer &ss, FeatureServer &fs, MixtureGD &model, unsigned long idxBeginFrame, unsigned long nbFrames, Config &config)
double	meanLikelihood (StatServer &ss, FeatureServer &fs, MixtureGD &model, SegCluster &selectedSegments, Config &config)
double	meanLikelihood (StatServer &ss, FeatureServer **fsTab, SegCluster **segTab, unsigned long nbStream, MixtureGD &model, Config &config)
double	meanLikelihood (StatServer &ss, ObjectRefVector &FeatServ, ObjectRefVector &ClusterSeg, MixtureGD &model, DoubleVector &decision, Config &config)
void	globalMeanCov (FeatureServer &fs, SegCluster &selectedSegments, FrameAcc &globalFrameAcc, Config &config)
void	globalMeanCov (FeatureServer &fs, FrameAcc &globalFrameAcc, Config &config)
void	computeWarp (Histo *histoT, Histo &destH, FeatureServer &fs, unsigned long begin, unsigned long length, Config &config)
void	computeWarp (Histo *histoT, Histo &destH, FeatureServer &fs, Seg *seg, Config &config)
void	computeWarp (Histo *histoT, Histo &destH, FeatureServer &fs, SegCluster &selectedSegments, Config &config)
void	computeZeroOne (const DoubleVector &featureMean, const DoubleVector &featureStd, FeatureServer &fs, unsigned long begin, unsigned long length, Config &config)
void	computeZeroOne (FrameAccGD &frameAccu, FeatureServer &fs, unsigned long begin, unsigned long length, Config &config)
void	computeZeroOne (FrameAccGD &frameAccu, FeatureServer &fs, Seg *seg, Config &config)
void	computeZeroOne (const DoubleVector &featureMean, const DoubleVector &featureStd, FeatureServer &fs, Seg *seg, Config &config)
void	computeZeroOne (FrameAccGD &frameAccu, FeatureServer &fs, SegCluster &selectedSegments, Config &config)
void	computeZeroOne (const DoubleVector &featureMean, const DoubleVector &featureStd, FeatureServer &fs, SegCluster &selectedSegments, Config &config)
void	cms (String &featureFileName, FeatureServer &fs, Config &config)
void	outputFeatureFile (Config &config, FeatureServer &fs, Feature &f, FeatureFileWriter &w)
void	outputFeatureFile (Config &config, FeatureServer &fs, unsigned long begin, unsigned long length, FeatureFileWriter &w)
void	outputFeatureFile (Config &config, FeatureServer &fs, Seg *seg, FeatureFileWriter &w)
void	outputFeatureFile (Config &config, FeatureServer &fs, SegCluster &selectedSegments, FeatureFileWriter &w)
unsigned long	getBestGaussian (Mixture &M, Feature &f)
void	mapDataToDistrib (double &data, const double meanData, const double covData, const double meanMap, const double covMap)
void	featureMapping (MixtureServer &ms, Feature &f, Config &config)
void	featureMapping (MixtureServer &ms, FeatureServer &fs, Seg *seg, Config &config)
void	featureMapping (MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, Config &config)
double	likelihoodGD (const DistribGD &d, const DistribGD &m)
double	likelihoodGD (const MixtureGD &data, const MixtureGD &model, TabWeight &tabWD, TabWeight &tabWM)
double	likelihoodGD (const MixtureGD &data, const MixtureGD &model, TabWeight &tabWD)
double	likelihoodGD (const MixtureGD &data, const MixtureGD &model)

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Define Documentation

#define ALIZE_GeneralTools_cpp

Definition at line 56 of file GeneralTools.cpp.

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Function Documentation

int _compF	(	const void *	op1,
		const void *	op2
	)

Definition at line 277 of file GeneralTools.cpp.

Referenced by TabWeight::_sortByWeight().

bool baggedFrame

(

double

baggedFrameProbability )

Definition at line 309 of file GeneralTools.cpp.

Referenced by baggedSegments().

void baggedSegments	(	SegCluster &	selectedSegments,
		SegCluster &	baggedSeg,
		unsigned long	nbBagged,
		double &	baggedProbability,
		unsigned long	minimumLength,
		unsigned long	maximumLength
	)

Definition at line 330 of file GeneralTools.cpp.

References baggedFrame(), correctedLength(), debug, showCluster(), totalFrame(), verbose, and verboseLevel.

void baggedSegments	(	SegCluster &	selectedSegments,
		SegCluster &	baggedFrameSegment,
		double	baggedProbability,
		unsigned long	minimumLength,
		unsigned long	maximumLength
	)

Definition at line 455 of file GeneralTools.cpp.

References baggedFrame(), correctedLength(), debug, showCluster(), totalFrame(), verbose, and verboseLevel.

Referenced by adaptModel(), adaptModelEM(), baggedSegmentsConstraint(), crossValid(), mixtureInit(), modelBasedadaptModel(), modelBasedadaptModelEM(), trainModel(), and trainModelStream().

void baggedSegments	(	SegCluster &	selectedSegments,
		SegCluster &	baggedSelected,
		SegCluster &	baggedUnselected,
		double	baggedProbability,
		unsigned long	minimumLength,
		unsigned long	maximumLength
	)

Definition at line 513 of file GeneralTools.cpp.

References baggedFrame(), correctedLength(), debug, showCluster(), totalFrame(), and verboseLevel.

void baggedSegmentsConstraint	(	SegCluster &	selectedSegments,
		SegCluster &	baggedFrameSegment,
		double	baggedProbability,
		unsigned long	minimumLength,
		unsigned long	maximumLength
	)

Definition at line 322 of file GeneralTools.cpp.

References baggedSegments(), and totalFrame().

void cms	(	String &	featureFileName,
		FeatureServer &	fs,
		Config &	config
	)

Definition at line 713 of file GeneralTools.cpp.

References accumulateStatFrame(), computeZeroOne(), initializeClusters(), and verifyClusterFile().

Referenced by ComputeTestFA(), ComputeTestLFA(), normFeat(), normFeatFA(), and normFeatLFA().

double computeEntropy

(

Histo &

hist )

Definition at line 194 of file GeneralTools.cpp.

Referenced by ComputeTestHisto().

double computeMean

(

Histo &

hist )

Definition at line 213 of file GeneralTools.cpp.

Referenced by ComputeTestHisto().

void computeWarp	(	Histo *	histoT,
		Histo &	destH,
		FeatureServer &	fs,
		unsigned long	begin,
		unsigned long	length,
		Config &	config
	)

Definition at line 642 of file GeneralTools.cpp.

References warping().

Referenced by computeWarp(), and normFeat().

void computeWarp	(	Histo *	histoT,
		Histo &	destH,
		FeatureServer &	fs,
		Seg *	seg,
		Config &	config
	)

Definition at line 656 of file GeneralTools.cpp.

References computeWarp().

void computeWarp	(	Histo *	histoT,
		Histo &	destH,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		Config &	config
	)

Definition at line 661 of file GeneralTools.cpp.

References computeWarp().

void computeZeroOne	(	const DoubleVector &	featureMean,
		const DoubleVector &	featureStd,
		FeatureServer &	fs,
		unsigned long	begin,
		unsigned long	length,
		Config &	config
	)

Definition at line 670 of file GeneralTools.cpp.

void computeZeroOne	(	FrameAccGD &	frameAccu,
		FeatureServer &	fs,
		unsigned long	begin,
		unsigned long	length,
		Config &	config
	)

Definition at line 683 of file GeneralTools.cpp.

References computeZeroOne().

Referenced by cms(), computeZeroOne(), and normFeat().

void computeZeroOne	(	FrameAccGD &	frameAccu,
		FeatureServer &	fs,
		Seg *	seg,
		Config &	config
	)

Definition at line 689 of file GeneralTools.cpp.

References computeZeroOne().

void computeZeroOne	(	const DoubleVector &	featureMean,
		const DoubleVector &	featureStd,
		FeatureServer &	fs,
		Seg *	seg,
		Config &	config
	)

Definition at line 695 of file GeneralTools.cpp.

References computeZeroOne().

void computeZeroOne	(	const DoubleVector &	featureMean,
		const DoubleVector &	featureStd,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		Config &	config
	)

Definition at line 705 of file GeneralTools.cpp.

References computeZeroOne(), and verbose.

void computeZeroOne	(	FrameAccGD &	frameAccu,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		Config &	config
	)

Definition at line 700 of file GeneralTools.cpp.

References computeZeroOne().

unsigned long correctedLength	(	unsigned long	length,
		unsigned long &	minimumLength,
		unsigned long &	maximumLength
	)

Definition at line 316 of file GeneralTools.cpp.

Referenced by baggedSegments().

void featureMapping	(	MixtureServer &	ms,
		Feature &	f,
		Config &	config
	)

Definition at line 782 of file GeneralTools.cpp.

References debug, getBestGaussian(), and mapDataToDistrib().

void featureMapping	(	MixtureServer &	ms,
		FeatureServer &	fs,
		Seg *	seg,
		Config &	config
	)

Definition at line 793 of file GeneralTools.cpp.

References featureMapping().

void featureMapping	(	MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		Config &	config
	)

Definition at line 805 of file GeneralTools.cpp.

References featureMapping().

unsigned long getBestGaussian	(	Mixture &	M,
		Feature &	f
	)

Definition at line 762 of file GeneralTools.cpp.

Referenced by featureMapping().

void globalMeanCov	(	FeatureServer &	fs,
		FrameAcc &	globalFrameAcc,
		Config &	config
	)

Definition at line 634 of file GeneralTools.cpp.

References accumulateStatFrame().

void globalMeanCov	(	FeatureServer &	fs,
		SegCluster &	selectedSegments,
		FrameAcc &	globalFrameAcc,
		Config &	config
	)

Definition at line 629 of file GeneralTools.cpp.

References accumulateStatFrame().

Referenced by clusteringCriterion(), clusteringCriterionWithoutWorldInit(), energyDetector(), and infoFeat().

double likelihoodGD	(	const MixtureGD &	data,
		const MixtureGD &	model
	)

Definition at line 852 of file GeneralTools.cpp.

References likelihoodGD().

double likelihoodGD	(	const MixtureGD &	data,
		const MixtureGD &	model,
		TabWeight &	tabWD,
		TabWeight &	tabWM
	)

Definition at line 828 of file GeneralTools.cpp.

References debug, TabWeightElem::distribP, TabWeight::getArray(), TabWeight::getDistrib(), TabWeight::getNbTop(), TabWeight::getWeight(), likelihoodGD(), and TabWeightElem::weight.

double likelihoodGD	(	const DistribGD &	d,
		const DistribGD &	m
	)

Definition at line 816 of file GeneralTools.cpp.

Referenced by computeLLRGD(), likelihoodGD(), modelBasedadaptModel(), and modelBasedadaptModelEM().

double likelihoodGD	(	const MixtureGD &	data,
		const MixtureGD &	model,
		TabWeight &	tabWD
	)

Definition at line 848 of file GeneralTools.cpp.

References likelihoodGD().

void mapDataToDistrib	(	double &	data,
		const double	meanData,
		const double	covData,
		const double	meanMap,
		const double	covMap
	)

Definition at line 777 of file GeneralTools.cpp.

Referenced by featureMapping().

double meanLikelihood	(	StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	model,
		SegCluster &	selectedSegments,
		Config &	config
	)

Definition at line 589 of file GeneralTools.cpp.

References accumulateStatLLK().

double meanLikelihood	(	StatServer &	ss,
		FeatureServer **	fsTab,
		SegCluster **	segTab,
		unsigned long	nbStream,
		MixtureGD &	model,
		Config &	config
	)

Definition at line 599 of file GeneralTools.cpp.

References accumulateStatLLK().

double meanLikelihood	(	StatServer &	ss,
		ObjectRefVector &	FeatServ,
		ObjectRefVector &	ClusterSeg,
		MixtureGD &	model,
		DoubleVector &	decision,
		Config &	config
	)

Definition at line 610 of file GeneralTools.cpp.

References accumulateStatLLK().

double meanLikelihood	(	StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	model,
		unsigned long	idxBeginFrame,
		unsigned long	nbFrames,
		Config &	config
	)

Definition at line 580 of file GeneralTools.cpp.

References accumulateStatLLK().

Referenced by adaptModel(), adaptModelEM(), bestFittingCluster(), bestFittingSegment(), cohortMaxLikelihood(), crossValid(), modelBasedadaptModel(), modelBasedadaptModelEM(), trainModel(), and trainModelStream().

void outputFeatureFile	(	Config &	config,
		FeatureServer &	fs,
		Feature &	f,
		FeatureFileWriter &	w
	)

Definition at line 733 of file GeneralTools.cpp.

Referenced by featMap(), featWarp(), normFeat(), normFeatFA(), normFeatLFA(), normFeatNAP(), and outputFeatureFile().

void outputFeatureFile	(	Config &	config,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		FeatureFileWriter &	w
	)

Definition at line 753 of file GeneralTools.cpp.

References outputFeatureFile().

void outputFeatureFile	(	Config &	config,
		FeatureServer &	fs,
		unsigned long	begin,
		unsigned long	length,
		FeatureFileWriter &	w
	)

Definition at line 738 of file GeneralTools.cpp.

References outputFeatureFile().

void outputFeatureFile	(	Config &	config,
		FeatureServer &	fs,
		Seg *	seg,
		FeatureFileWriter &	w
	)

Definition at line 746 of file GeneralTools.cpp.

References outputFeatureFile(), and verbose.

long setDecision	(	double	LLRClient,
		double	decisionThreshold
	)

Definition at line 232 of file GeneralTools.cpp.

Referenced by ComputeTest(), ComputeTestByLabel(), ComputeTestDotProduct(), ComputeTestFA(), ComputeTestHisto(), ComputeTestJFA(), ComputeTestLFA(), and ComputeTestNAP().