tree reweighted belief propagation :
[?] More...

#include <tree_reweighted_bp.hxx>

Inheritance diagram for opengm::external::libdai::TreeReweightedBp< GM, ACC >:

Collaboration diagram for opengm::external::libdai::TreeReweightedBp< GM, ACC >:

Classes
struct	Parameter

Public Types
enum	UpdateRule { PARALL, SEQFIX, SEQRND, SEQMAX }

typedef ACC	AccumulationType

typedef GM	GraphicalModelType

typedef opengm::visitors::VerboseVisitor< TreeReweightedBp< GM, ACC > >	VerboseVisitorType

typedef opengm::visitors::TimingVisitor< TreeReweightedBp< GM, ACC > >	TimingVisitorType

typedef opengm::visitors::EmptyVisitor< TreeReweightedBp< GM, ACC > >	EmptyVisitorType

Public Types inherited from opengm::Inference< GM, ACC >
typedef GM	GraphicalModelType

typedef ACC	AccumulationType

typedef GraphicalModelType::LabelType	LabelType

typedef GraphicalModelType::IndexType	IndexType

typedef GraphicalModelType::ValueType	ValueType

typedef GraphicalModelType::OperatorType	OperatorType

typedef GraphicalModelType::FactorType	FactorType

typedef GraphicalModelType::IndependentFactorType	IndependentFactorType

typedef GraphicalModelType::FunctionIdentifier	FunctionIdentifier

Public Member Functions
std::string	name () const

	TreeReweightedBp (const GM &gm, const Parameter param=Parameter())

virtual const GraphicalModelType &	graphicalModel () const

virtual void	reset ()

virtual InferenceTermination	infer ()

template<class VISITOR >
InferenceTermination	infer (VISITOR &visitor)

virtual InferenceTermination	arg (std::vector< LabelType > &v, const size_t argnr=1) const
	output a solution More...

virtual InferenceTermination	marginal (const size_t v, IndependentFactorType &m) const
	output a solution for a marginal for a specific variable More...

virtual InferenceTermination	factorMarginal (const size_t f, IndependentFactorType &m) const
	output a solution for a marginal for all variables connected to a factor More...

Public Member Functions inherited from opengm::Inference< GM, ACC >
virtual	~Inference ()

virtual void	setStartingPoint (typename std::vector< LabelType >::const_iterator)
	set initial labeling More...

virtual InferenceTermination	args (std::vector< std::vector< LabelType > > &) const

virtual ValueType	bound () const
	return a bound on the solution More...

virtual ValueType	value () const
	return the solution (value) More...

InferenceTermination	constrainedOptimum (std::vector< IndexType > &, std::vector< LabelType > &, std::vector< LabelType > &) const

InferenceTermination	modeFromMarginal (std::vector< LabelType > &) const

InferenceTermination	modeFromFactorMarginal (std::vector< LabelType > &) const

Public Attributes
	OPENGM_GM_TYPE_TYPEDEFS

Detailed Description

template<class GM, class ACC>
class opengm::external::libdai::TreeReweightedBp< GM, ACC >

tree reweighted belief propagation :
[?]

Tree Reweighted Belief Propagation :

cite :[?]
Maximum factor order : $\infty$
Maximum number of labels : $\infty$
Restrictions : ?
Convergent : convergent on trees

Definition at line 23 of file tree_reweighted_bp.hxx.

Member Typedef Documentation

template<class GM , class ACC >

typedef ACC opengm::external::libdai::TreeReweightedBp< GM, ACC >::AccumulationType

Definition at line 26 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

typedef opengm::visitors::EmptyVisitor< TreeReweightedBp<GM,ACC> > opengm::external::libdai::TreeReweightedBp< GM, ACC >::EmptyVisitorType

Definition at line 31 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

typedef GM opengm::external::libdai::TreeReweightedBp< GM, ACC >::GraphicalModelType

Definition at line 27 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

typedef opengm::visitors::TimingVisitor< TreeReweightedBp<GM,ACC> > opengm::external::libdai::TreeReweightedBp< GM, ACC >::TimingVisitorType

Definition at line 30 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

typedef opengm::visitors::VerboseVisitor< TreeReweightedBp<GM,ACC> > opengm::external::libdai::TreeReweightedBp< GM, ACC >::VerboseVisitorType

Definition at line 29 of file tree_reweighted_bp.hxx.

Constructor & Destructor Documentation

template<class GM , class ACC >

opengm::external::libdai::TreeReweightedBp< GM, ACC >::TreeReweightedBp	(	const GM &	gm,
		const Parameter	param = `Parameter()`
	)

inline

Definition at line 86 of file tree_reweighted_bp.hxx.

Member Function Documentation

template<class GM , class ACC >

virtual InferenceTermination opengm::external::libdai::TreeReweightedBp< GM, ACC >::arg	(	std::vector< LabelType > &	arg,
		const size_t	argIndex = `1`
	)		const

inlinevirtual

output a solution

Parameters

[out]	arg	labeling
	argIndex	solution index (1=best, 2=second best, etc.)

Reimplemented from opengm::Inference< GM, ACC >.

Definition at line 111 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

virtual InferenceTermination opengm::external::libdai::TreeReweightedBp< GM, ACC >::factorMarginal	(	const size_t	factorIndex,
		IndependentFactorType &	out
	)		const

inlinevirtual

output a solution for a marginal for all variables connected to a factor

Parameters

	factorIndex	index of the factor
[out]	out	the marginal

Reimplemented from opengm::Inference< GM, ACC >.

Definition at line 117 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

virtual const GraphicalModelType& opengm::external::libdai::TreeReweightedBp< GM, ACC >::graphicalModel ( ) const

inlinevirtual

Implements opengm::Inference< GM, ACC >.

Definition at line 91 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

virtual InferenceTermination opengm::external::libdai::TreeReweightedBp< GM, ACC >::infer ( )

inlinevirtual

Implements opengm::Inference< GM, ACC >.

Definition at line 99 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

template<class VISITOR >

InferenceTermination opengm::external::libdai::TreeReweightedBp< GM, ACC >::infer ( VISITOR & visitor )

inline

Definition at line 104 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

virtual InferenceTermination opengm::external::libdai::TreeReweightedBp< GM, ACC >::marginal	(	const size_t	variableIndex,
		IndependentFactorType &	out
	)		const

inlinevirtual

output a solution for a marginal for a specific variable

Parameters

	variableIndex	index of the variable
[out]	out	the marginal

Reimplemented from opengm::Inference< GM, ACC >.

Definition at line 114 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

std::string opengm::external::libdai::TreeReweightedBp< GM, ACC >::name ( ) const

inlinevirtual

Implements opengm::Inference< GM, ACC >.

Definition at line 38 of file tree_reweighted_bp.hxx.

template<class GM , class ACC >

virtual void opengm::external::libdai::TreeReweightedBp< GM, ACC >::reset ( )

inlinevirtual

Definition at line 95 of file tree_reweighted_bp.hxx.

Member Data Documentation

template<class GM , class ACC >

opengm::external::libdai::TreeReweightedBp< GM, ACC >::OPENGM_GM_TYPE_TYPEDEFS

Definition at line 28 of file tree_reweighted_bp.hxx.

Classes

Public Types

Public Member Functions

Public Attributes

Detailed Description

template<class GM, class ACC> class opengm::external::libdai::TreeReweightedBp< GM, ACC >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class GM, class ACC>
class opengm::external::libdai::TreeReweightedBp< GM, ACC >