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Functions
template<typename ProbaType >
void	prepare (carto::VolumeRef< ProbaType > &proba, carto::VolumeRef< ProbaType > &nbprior, std::vector< int > &labels, std::map< int, int > &indices, const std::vector< int > &ignore, int nclass=0)

template<typename ProbaType >
void	addProbaCatch (carto::VolumeRef< ProbaType > &proba, carto::VolumeRef< ProbaType > &nbprior, double probacatch=1.)

double	gauss (double x, double mu, double sigma)

double	normal (double x, double mu, double sigma)

double	attenuate (double proba, float alpha, int n)

template<typename P , typename M >
carto::VolumeRef< P > &	attenuate (carto::VolumeRef< P > &proba, float alpha, const carto::VolumeRef< M > &mask)

template<typename P >
carto::VolumeRef< P > &	attenuate (carto::VolumeRef< P > &proba, float alpha)

template<typename P , typename M >
carto::VolumeRef< P >	newAttenuate (const carto::VolumeRef< P > &proba, float alpha, const carto::VolumeRef< M > &mask)

template<typename P >
carto::VolumeRef< P >	newAttenuate (const carto::VolumeRef< P > &proba, float alpha)

template<typename P , typename M >
carto::VolumeRef< P > &	attenuateZ (carto::VolumeRef< P > &proba, float alpha, const carto::VolumeRef< M > &mask)

template<typename P >
carto::VolumeRef< P > &	attenuateZ (carto::VolumeRef< P > &proba, float alpha)

template<typename P , typename M >
carto::VolumeRef< P >	newAttenuateZ (const carto::VolumeRef< P > &proba, float alpha, const carto::VolumeRef< M > &mask)

template<typename P >
carto::VolumeRef< P >	newAttenuateZ (const carto::VolumeRef< P > &proba, float alpha)

template<typename P , typename M >
carto::VolumeRef< P > &	normalize (carto::VolumeRef< P > &proba, const carto::VolumeRef< M > &mask)

template<typename P >
carto::VolumeRef< P > &	normalize (carto::VolumeRef< P > &proba)

template<typename P , typename M >
carto::VolumeRef< P >	newNormalize (const carto::VolumeRef< P > &proba, const carto::VolumeRef< M > &mask)

template<typename P >
carto::VolumeRef< P >	newNormalize (const carto::VolumeRef< P > &proba)

template<typename P , typename I , typename M , typename Distrib >
carto::VolumeRef< P > &	pdf (const std::vector< Distrib > &param, const carto::VolumeRef< I > &values, carto::VolumeRef< P > &output, const carto::VolumeRef< M > &mask)

template<typename P , typename I , typename Distrib >
carto::VolumeRef< P > &	pdf (const std::vector< Distrib > &param, const carto::VolumeRef< I > &values, carto::VolumeRef< P > &output)

template<typename P , typename I , typename M , typename Distrib >
carto::VolumeRef< P >	newPdf (const std::vector< Distrib > &param, const carto::VolumeRef< I > &values, const carto::VolumeRef< M > &mask)

template<typename P , typename I , typename Distrib >
carto::VolumeRef< P >	newPdf (const std::vector< Distrib > &param, const carto::VolumeRef< I > &values)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP > &	bayes (const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior, carto::VolumeRef< OP > &output, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP > &	bayes (const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior, carto::VolumeRef< OP > &output)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP >	newBayes (const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP >	newBayes (const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP > &	bayes (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< OP > &output, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP > &	bayes (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< OP > &output)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP >	newBayes (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP >	newBayes (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP > &	robustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior, carto::VolumeRef< OP > &output, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP > &	robustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior, carto::VolumeRef< OP > &output)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP >	newRobustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP >	newRobustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const std::vector< P2 > &prior)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP > &	robustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< OP > &output, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP > &	robustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< OP > &output)

template<typename OP , typename P1 , typename P2 , typename M >
carto::VolumeRef< OP >	newRobustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, const carto::VolumeRef< M > &mask)

template<typename OP , typename P1 , typename P2 >
carto::VolumeRef< OP >	newRobustBayes (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior)

template<typename C , typename P , typename M >
carto::VolumeRef< C > &	maximumLikelihood (const carto::VolumeRef< P > &proba, carto::VolumeRef< C > &output, const carto::VolumeRef< M > &mask)

template<typename C , typename P >
carto::VolumeRef< C > &	maximumLikelihood (const carto::VolumeRef< P > &proba, carto::VolumeRef< C > &output)

template<typename C , typename P , typename M >
carto::VolumeRef< C >	newMaximumLikelihood (const carto::VolumeRef< P > &proba, const carto::VolumeRef< M > &mask)

template<typename C , typename P >
carto::VolumeRef< C >	newMaximumLikelihood (const carto::VolumeRef< P > &proba)

template<typename C , typename P1 , typename P2 , typename M >
carto::VolumeRef< C > &	maximumAPosteriori (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< C > &output, const carto::VolumeRef< M > &mask)

template<typename C , typename P1 , typename P2 >
carto::VolumeRef< C > &	maximumAPosteriori (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< C > &output)

template<typename C , typename P1 , typename P2 , typename M >
carto::VolumeRef< C >	newMaximumAPosteriori (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, const carto::VolumeRef< M > &mask)

template<typename C , typename P1 , typename P2 >
carto::VolumeRef< C >	newMaximumAPosteriori (const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior)

template<typename C , typename P1 , typename P2 , typename M >
carto::VolumeRef< C > &	robustMaximumAPosteriori (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< C > &output, const carto::VolumeRef< M > &mask)

template<typename C , typename P1 , typename P2 >
carto::VolumeRef< C > &	robustMaximumAPosteriori (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, carto::VolumeRef< C > &output)

template<typename C , typename P1 , typename P2 , typename M >
carto::VolumeRef< C >	newRobustMaximumAPosteriori (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior, const carto::VolumeRef< M > &mask)

template<typename C , typename P1 , typename P2 >
carto::VolumeRef< C >	newRobustMaximumAPosteriori (int n_best, const carto::VolumeRef< P1 > &conditional, const carto::VolumeRef< P2 > &prior)

template<typename P , typename M >
double	logLikelihoodSum (const carto::VolumeRef< P > &conditional, const carto::VolumeRef< M > &mask)

template<typename P >
double	logLikelihoodSum (const carto::VolumeRef< P > &proba)

Function Documentation

◆ addProbaCatch()

template<typename ProbaType >

void aims::proba::addProbaCatch	(	carto::VolumeRef< ProbaType > &	proba,
		carto::VolumeRef< ProbaType > &	nbprior,
		double	probacatch = `1.`
	)

Definition at line 148 of file labels.h.

References normalize(), and aims::vol::sum().

◆ attenuate() [1/3]

template<typename P >

carto::VolumeRef< P > & aims::proba::attenuate	(	carto::VolumeRef< P > &	proba,
		float	alpha
	)

Definition at line 64 of file proba_d.h.

References attenuate().

◆ attenuate() [2/3]

template<typename P , typename M >

carto::VolumeRef< P > & aims::proba::attenuate	(	carto::VolumeRef< P > &	proba,
		float	alpha,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 45 of file proba_d.h.

References attenuate().

◆ attenuate() [3/3]

double aims::proba::attenuate	(	double	proba,
		float	alpha,
		int	n
	)

Definition at line 33 of file proba_d.h.

Referenced by attenuate(), and newAttenuate().

◆ attenuateZ() [1/2]

template<typename P >

carto::VolumeRef< P > & aims::proba::attenuateZ	(	carto::VolumeRef< P > &	proba,
		float	alpha
	)

Definition at line 122 of file proba_d.h.

References attenuateZ().

◆ attenuateZ() [2/2]

template<typename P , typename M >

carto::VolumeRef< P > & aims::proba::attenuateZ	(	carto::VolumeRef< P > &	proba,
		float	alpha,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 91 of file proba_d.h.

References aims::vol::sum().

Referenced by attenuateZ(), and newAttenuateZ().

◆ bayes() [1/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > & aims::proba::bayes	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< OP > &	output
	)

Definition at line 341 of file proba_d.h.

References bayes().

◆ bayes() [2/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > & aims::proba::bayes	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< OP > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 312 of file proba_d.h.

References normalize(), and aims::vol::sum().

◆ bayes() [3/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > & aims::proba::bayes	(	const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior,
		carto::VolumeRef< OP > &	output
	)

Definition at line 282 of file proba_d.h.

References bayes().

◆ bayes() [4/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > & aims::proba::bayes	(	const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior,
		carto::VolumeRef< OP > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 256 of file proba_d.h.

References normalize(), and aims::vol::sum().

Referenced by bayes(), and newBayes().

◆ gauss()

double aims::proba::gauss	(	double	x,
		double	mu,
		double	sigma
	)

◆ logLikelihoodSum() [1/2]

template<typename P , typename M >

double aims::proba::logLikelihoodSum	(	const carto::VolumeRef< P > &	conditional,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 720 of file proba_d.h.

References aims::vol::sum().

Referenced by logLikelihoodSum().

◆ logLikelihoodSum() [2/2]

template<typename P >

double aims::proba::logLikelihoodSum ( const carto::VolumeRef & proba )

Definition at line 742 of file proba_d.h.

References logLikelihoodSum().

◆ maximumAPosteriori() [1/2]

template<typename C , typename P1 , typename P2 >

carto::VolumeRef< C > & aims::proba::maximumAPosteriori	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< C > &	output
	)

Definition at line 614 of file proba_d.h.

References maximumAPosteriori().

◆ maximumAPosteriori() [2/2]

template<typename C , typename P1 , typename P2 , typename M >

carto::VolumeRef< C > & aims::proba::maximumAPosteriori	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< C > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 578 of file proba_d.h.

References max().

Referenced by maximumAPosteriori(), and newMaximumAPosteriori().

◆ maximumLikelihood() [1/2]

template<typename C , typename P >

carto::VolumeRef< C > & aims::proba::maximumLikelihood	(	const carto::VolumeRef< P > &	proba,
		carto::VolumeRef< C > &	output
	)

Definition at line 551 of file proba_d.h.

References maximumLikelihood().

◆ maximumLikelihood() [2/2]

template<typename C , typename P , typename M >

carto::VolumeRef< C > & aims::proba::maximumLikelihood	(	const carto::VolumeRef< P > &	proba,
		carto::VolumeRef< C > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 523 of file proba_d.h.

References max().

Referenced by maximumLikelihood(), and newMaximumLikelihood().

◆ newAttenuate() [1/2]

template<typename P >

carto::VolumeRef< P > aims::proba::newAttenuate	(	const carto::VolumeRef< P > &	proba,
		float	alpha
	)

Definition at line 82 of file proba_d.h.

References attenuate().

◆ newAttenuate() [2/2]

template<typename P , typename M >

carto::VolumeRef< P > aims::proba::newAttenuate	(	const carto::VolumeRef< P > &	proba,
		float	alpha,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 71 of file proba_d.h.

References attenuate().

◆ newAttenuateZ() [1/2]

template<typename P >

carto::VolumeRef< P > aims::proba::newAttenuateZ	(	const carto::VolumeRef< P > &	proba,
		float	alpha
	)

Definition at line 140 of file proba_d.h.

References attenuateZ().

◆ newAttenuateZ() [2/2]

template<typename P , typename M >

carto::VolumeRef< P > aims::proba::newAttenuateZ	(	const carto::VolumeRef< P > &	proba,
		float	alpha,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 129 of file proba_d.h.

References attenuateZ().

◆ newBayes() [1/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > aims::proba::newBayes	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior
	)

Definition at line 361 of file proba_d.h.

◆ newBayes() [2/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > aims::proba::newBayes	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 350 of file proba_d.h.

References bayes().

◆ newBayes() [3/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > aims::proba::newBayes	(	const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior
	)

Definition at line 302 of file proba_d.h.

◆ newBayes() [4/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > aims::proba::newBayes	(	const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 291 of file proba_d.h.

References bayes().

◆ newMaximumAPosteriori() [1/2]

template<typename C , typename P1 , typename P2 >

carto::VolumeRef< C > aims::proba::newMaximumAPosteriori	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior
	)

Definition at line 634 of file proba_d.h.

◆ newMaximumAPosteriori() [2/2]

template<typename C , typename P1 , typename P2 , typename M >

carto::VolumeRef< C > aims::proba::newMaximumAPosteriori	(	const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 623 of file proba_d.h.

References maximumAPosteriori().

◆ newMaximumLikelihood() [1/2]

template<typename C , typename P >

carto::VolumeRef< C > aims::proba::newMaximumLikelihood ( const carto::VolumeRef & proba )

Definition at line 569 of file proba_d.h.

◆ newMaximumLikelihood() [2/2]

template<typename C , typename P , typename M >

carto::VolumeRef< C > aims::proba::newMaximumLikelihood	(	const carto::VolumeRef< P > &	proba,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 559 of file proba_d.h.

References maximumLikelihood().

◆ newNormalize() [1/2]

template<typename P >

carto::VolumeRef aims::proba::newNormalize ( const carto::VolumeRef & proba )

Definition at line 193 of file proba_d.h.

References normalize().

◆ newNormalize() [2/2]

template<typename P , typename M >

carto::VolumeRef< P > aims::proba::newNormalize	(	const carto::VolumeRef< P > &	proba,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 183 of file proba_d.h.

References normalize().

◆ newPdf() [1/2]

template<typename P , typename I , typename Distrib >

carto::VolumeRef< P > aims::proba::newPdf	(	const std::vector< Distrib > &	param,
		const carto::VolumeRef< I > &	values
	)

Definition at line 246 of file proba_d.h.

◆ newPdf() [2/2]

template<typename P , typename I , typename M , typename Distrib >

carto::VolumeRef< P > aims::proba::newPdf	(	const std::vector< Distrib > &	param,
		const carto::VolumeRef< I > &	values,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 234 of file proba_d.h.

References pdf().

◆ newRobustBayes() [1/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > aims::proba::newRobustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior
	)

Definition at line 512 of file proba_d.h.

◆ newRobustBayes() [2/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > aims::proba::newRobustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 500 of file proba_d.h.

References robustBayes().

◆ newRobustBayes() [3/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > aims::proba::newRobustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior
	)

Definition at line 441 of file proba_d.h.

◆ newRobustBayes() [4/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > aims::proba::newRobustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 429 of file proba_d.h.

References robustBayes().

◆ newRobustMaximumAPosteriori() [1/2]

template<typename C , typename P1 , typename P2 >

carto::VolumeRef< C > aims::proba::newRobustMaximumAPosteriori	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior
	)

Definition at line 709 of file proba_d.h.

◆ newRobustMaximumAPosteriori() [2/2]

template<typename C , typename P1 , typename P2 , typename M >

carto::VolumeRef< C > aims::proba::newRobustMaximumAPosteriori	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 697 of file proba_d.h.

References robustMaximumAPosteriori().

◆ normal()

double aims::proba::normal	(	double	x,
		double	mu,
		double	sigma
	)

◆ normalize() [1/2]

template<typename P >

carto::VolumeRef & aims::proba::normalize ( carto::VolumeRef & proba )

Definition at line 176 of file proba_d.h.

References normalize().

◆ normalize() [2/2]

template<typename P , typename M >

carto::VolumeRef< P > & aims::proba::normalize	(	carto::VolumeRef< P > &	proba,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 151 of file proba_d.h.

References aims::vol::sum().

Referenced by addProbaCatch(), bayes(), newNormalize(), normalize(), and robustBayes().

◆ pdf() [1/2]

template<typename P , typename I , typename Distrib >

carto::VolumeRef< P > & aims::proba::pdf	(	const std::vector< Distrib > &	param,
		const carto::VolumeRef< I > &	values,
		carto::VolumeRef< P > &	output
	)

Definition at line 225 of file proba_d.h.

References pdf().

◆ pdf() [2/2]

template<typename P , typename I , typename M , typename Distrib >

carto::VolumeRef< P > & aims::proba::pdf	(	const std::vector< Distrib > &	param,
		const carto::VolumeRef< I > &	values,
		carto::VolumeRef< P > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 205 of file proba_d.h.

Referenced by newPdf(), and pdf().

◆ prepare()

template<typename ProbaType >

void aims::proba::prepare	(	carto::VolumeRef< ProbaType > &	proba,
		carto::VolumeRef< ProbaType > &	nbprior,
		std::vector< int > &	labels,
		std::map< int, int > &	indices,
		const std::vector< int > &	ignore,
		int	nclass = `0`
	)

Definition at line 27 of file labels.h.

References aims::vol::sum(), and aims::proba::internal::TO_REMOVE.

◆ robustBayes() [1/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > & aims::proba::robustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< OP > &	output
	)

Definition at line 490 of file proba_d.h.

References robustBayes().

◆ robustBayes() [2/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > & aims::proba::robustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< OP > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 452 of file proba_d.h.

References normalize(), and aims::vol::sum().

◆ robustBayes() [3/4]

template<typename OP , typename P1 , typename P2 >

carto::VolumeRef< OP > & aims::proba::robustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior,
		carto::VolumeRef< OP > &	output
	)

Definition at line 419 of file proba_d.h.

References robustBayes().

◆ robustBayes() [4/4]

template<typename OP , typename P1 , typename P2 , typename M >

carto::VolumeRef< OP > & aims::proba::robustBayes	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const std::vector< P2 > &	prior,
		carto::VolumeRef< OP > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 384 of file proba_d.h.

References normalize(), and aims::vol::sum().

Referenced by newRobustBayes(), and robustBayes().

◆ robustMaximumAPosteriori() [1/2]

template<typename C , typename P1 , typename P2 >

carto::VolumeRef< C > & aims::proba::robustMaximumAPosteriori	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< C > &	output
	)

Definition at line 687 of file proba_d.h.

References robustMaximumAPosteriori().

◆ robustMaximumAPosteriori() [2/2]

template<typename C , typename P1 , typename P2 , typename M >

carto::VolumeRef< C > & aims::proba::robustMaximumAPosteriori	(	int	n_best,
		const carto::VolumeRef< P1 > &	conditional,
		const carto::VolumeRef< P2 > &	prior,
		carto::VolumeRef< C > &	output,
		const carto::VolumeRef< M > &	mask
	)

Definition at line 644 of file proba_d.h.

References max().

Referenced by newRobustMaximumAPosteriori(), and robustMaximumAPosteriori().

Namespaces

Functions

Function Documentation

◆ addProbaCatch()

◆ attenuate() [1/3]

◆ attenuate() [2/3]

◆ attenuate() [3/3]

◆ attenuateZ() [1/2]

◆ attenuateZ() [2/2]

◆ bayes() [1/4]

◆ bayes() [2/4]

◆ bayes() [3/4]

◆ bayes() [4/4]

◆ gauss()

◆ logLikelihoodSum() [1/2]

◆ logLikelihoodSum() [2/2]

◆ maximumAPosteriori() [1/2]

◆ maximumAPosteriori() [2/2]

◆ maximumLikelihood() [1/2]

◆ maximumLikelihood() [2/2]

◆ newAttenuate() [1/2]

◆ newAttenuate() [2/2]

◆ newAttenuateZ() [1/2]

◆ newAttenuateZ() [2/2]

◆ newBayes() [1/4]

◆ newBayes() [2/4]

◆ newBayes() [3/4]

◆ newBayes() [4/4]

◆ newMaximumAPosteriori() [1/2]

◆ newMaximumAPosteriori() [2/2]

◆ newMaximumLikelihood() [1/2]

◆ newMaximumLikelihood() [2/2]

◆ newNormalize() [1/2]

◆ newNormalize() [2/2]

◆ newPdf() [1/2]

◆ newPdf() [2/2]

◆ newRobustBayes() [1/4]

◆ newRobustBayes() [2/4]

◆ newRobustBayes() [3/4]

◆ newRobustBayes() [4/4]

◆ newRobustMaximumAPosteriori() [1/2]

◆ newRobustMaximumAPosteriori() [2/2]

◆ normal()

◆ normalize() [1/2]

◆ normalize() [2/2]

◆ pdf() [1/2]

◆ pdf() [2/2]

◆ prepare()

◆ robustBayes() [1/4]

◆ robustBayes() [2/4]

◆ robustBayes() [3/4]

◆ robustBayes() [4/4]

◆ robustMaximumAPosteriori() [1/2]

◆ robustMaximumAPosteriori() [2/2]