Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123456]

▼CDirectGraphicalModels::CBaseRandomModel	Base abstract class for random model training
▼CDirectGraphicalModels::CPrior	Base abstract class for prior probability estimation
▶CDirectGraphicalModels::CPriorEdge	Edge prior probability estimation class
CDirectGraphicalModels::CTrainEdgePrior	Contrast-Sensitive Potts training with edge prior probability class
▶CDirectGraphicalModels::CPriorNode	Node prior probability estimation class
CDirectGraphicalModels::CTrainNodeBayes	Bayes training class
▶CDirectGraphicalModels::CPriorTriplet	Triplet prior probability estimation class
CDirectGraphicalModels::CTrainTriplet	Base abstract class for triplet potential training
▼CDirectGraphicalModels::IPDF	Interface class for Probability Density Function (PDF)
CDirectGraphicalModels::CPDFGaussian	Gaissian-based PDF class
CDirectGraphicalModels::CPDFHistogram	Histogram-based PDF class (1D)
CDirectGraphicalModels::CPDFHistogram2D	Histogram-based PDF class (2D)
▼CDirectGraphicalModels::ITrain	Interface class for random model training
▶CDirectGraphicalModels::CTrainEdge	Base abstract class for edge potentials training
CDirectGraphicalModels::CTrainEdgeConcat< Trainer, Concatenator >	Concatenated edge training class
▶CDirectGraphicalModels::CTrainEdgePotts	Potts edge training class
▶CDirectGraphicalModels::CTrainEdgePottsCS	Contrast-Sensitive Potts training class
CDirectGraphicalModels::CTrainEdgePrior	Contrast-Sensitive Potts training with edge prior probability class
▶CDirectGraphicalModels::CTrainLink	Base abstract class for link (inter-layer edge) potentials training
CDirectGraphicalModels::CTrainLinkNested< Trainer >	Nested link (inter-layer edge) training class
▶CDirectGraphicalModels::CTrainNode	Base abstract class for node potentials training
CDirectGraphicalModels::CTrainNodeBayes	Bayes training class
CDirectGraphicalModels::CTrainNodeCvANN	OpenCV Artificial neural network training class
▶CDirectGraphicalModels::CTrainNodeCvGMM	OpenCV Gaussian Mixture Model training class
CDirectGraphicalModels::CTrainNodeCvGM	OpenCV Gaussian Model training class
CDirectGraphicalModels::CTrainNodeCvKNN	OpenCV Nearest Neighbor training class
CDirectGraphicalModels::CTrainNodeCvRF	OpenCV Random Forest training class
CDirectGraphicalModels::CTrainNodeCvSVM	OpenCV Support Vector Machines training class
▶CDirectGraphicalModels::CTrainNodeGMM	Gaussian Mixture Model training class
CDirectGraphicalModels::CTrainNodeGM	Gaussian Model training class
CDirectGraphicalModels::CTrainNodeKNN	Nearest Neighbor training class
CDirectGraphicalModels::CTrainNodeMsRF	Microsoft Sherwood Random Forest training class
CDirectGraphicalModels::CTrainTriplet	Base abstract class for triplet potential training
CDirectGraphicalModels::CCMat	Confusion matrix class
▼CDirectGraphicalModels::CDecode	Base abstract class for random model decoding
▼CDirectGraphicalModels::CDecodeExact	Exact decoding class
CDirectGraphicalModels::CInferExact	Exact inference class
▼CDirectGraphicalModels::CFeaturesConcatenator	Features concatenator base abstract class
CDirectGraphicalModels::CDiffFeaturesConcatenator	Difference features concatenator class
CDirectGraphicalModels::CSimpleFeaturesConcatenator	Simple features concatenator class
▼CDirectGraphicalModels::CGraph	Interface class for graphical models
CDirectGraphicalModels::CGraphDense	Fully-connected (dense) graph class
▼CDirectGraphicalModels::IGraphPairwise	Interface class for graphical models
▶CDirectGraphicalModels::CGraphPairwise	Pairwise graph class
CDirectGraphicalModels::CGraph3	Triple graph class
CDirectGraphicalModels::CGraphWeiss	Pairwise graph class
▼CDirectGraphicalModels::CGraphExt	General graph extension abstract class for 2D image classifaction
CDirectGraphicalModels::CGraphDenseExt	Extended Dense graph class for 2D image classifaction
CDirectGraphicalModels::CGraphLayeredExt	Extended Pairwise Layered graph class
CDirectGraphicalModels::CGraphPairwiseExt	Extended Pairwise graph class for 2D image classifaction
▼CDirectGraphicalModels::CGraphKit	Abstract Kit class for constructing Graph-related objects
CDirectGraphicalModels::CGraphDenseKit	Kit class for constructing Dense Graph objects
CDirectGraphicalModels::CGraphPairwiseKit	Kit class for constructing Pairwise Graph objects
▼CDirectGraphicalModels::CInfer	Base abstract class for random model inference
CDirectGraphicalModels::CInferDense	Dense Inference for Dense CRF
CDirectGraphicalModels::CInferExact	Exact inference class
▼CDirectGraphicalModels::CMessagePassing	Abstract base class for message passing inference algorithmes
CDirectGraphicalModels::CInferChain	Inference for chain graphs
▶CDirectGraphicalModels::CInferLBP	Sum product Loopy Belief Propagation inference class
CDirectGraphicalModels::CInferViterbi	Max product Viterbi inference class
CDirectGraphicalModels::CInferTree	Inference for tree graphs (undirected graphs without loops)
CDirectGraphicalModels::CInferTRW	Tree-reweighted inference class
CDirectGraphicalModels::CKDGauss	Multivariate Gaussian distribution class
CDirectGraphicalModels::CKDTree	Class implementing k-D Tree data structure
▼CDirectGraphicalModels::vis::CMarker	Marker class
CDirectGraphicalModels::vis::CMarkerHistogram	Histogram Marker class
CDirectGraphicalModels::CPowell	The Powell search method class
CDirectGraphicalModels::CSamplesAccumulator	Samples accumulator abstract class
▼CDirectGraphicalModels::fex::CSparseDictionary	Sparse Dictionary Learning class
CDirectGraphicalModels::fex::CSparseCoding	Sparse Coding feature extraction class
▼CDirectGraphicalModels::vis::CTrackballCamera	Trackball camera class
CDirectGraphicalModels::vis::CCameraControl	Trackball camera control class
CDirectGraphicalModels::Edge	Edge structure
CDirectGraphicalModels::CGraphWeiss::Edge	Edge structure
▼Cenable_shared_from_this
CDirectGraphicalModels::CKDNode	K-D Node class for the k-D Tree data structure
CMicrosoftResearch::Cambridge::Sherwood::Forest< F, S >
CMicrosoftResearch::Cambridge::Sherwood::Forest< sw::LinearFeatureResponse, sw::HistogramAggregator >
▼CDirectGraphicalModels::IEdgeModel	Interface class for edge models used in dense graphical models
CDirectGraphicalModels::CEdgeModelPotts	Potts Edge Model for dense graphical models
▼CDirectGraphicalModels::fex::IFeatureExtractor	Interface class for feature extraction algorithms
CDirectGraphicalModels::fex::CGlobalFeatureExtractor	Interface class for global feature extraction algorithms
▼CDirectGraphicalModels::fex::ILocalFeatureExtractor	Interface class for local feature extraction algorithms
CDirectGraphicalModels::fex::CCommonFeatureExtractor	Common class, which unites feature extraction algorithms
CDirectGraphicalModels::fex::CCoordinate	Coordinate feature extraction class
CDirectGraphicalModels::fex::CDistance	Distance feature extraction class
CDirectGraphicalModels::fex::CGradient	Gradient feature extraction class
CDirectGraphicalModels::fex::CHOG	HOG (histogram of oriented gradients) feature extraction class
CDirectGraphicalModels::fex::CHSV	Hue, Saturation and Value feature extraction class
CDirectGraphicalModels::fex::CIntensity	Intensity feature extraction class
CDirectGraphicalModels::fex::CNDVI	NDVI (normalized difference vegetation index) feature extraction class
CDirectGraphicalModels::fex::CScale	Scale feature extraction class
CDirectGraphicalModels::fex::CSIFT	SIFT (scale-invariant feature transform) feature extraction class
CDirectGraphicalModels::fex::CSparseCoding	Sparse Coding feature extraction class
CDirectGraphicalModels::fex::CVariance	Variance feature extraction class
CDirectGraphicalModels::Node	Node structure
CDirectGraphicalModels::CGraphWeiss::Node	Node structure
CDirectGraphicalModels::fex::SqNeighbourhood	Square neighborhood structure
CDirectGraphicalModels::TrainNodeCvANNParams	OpenCV Artificial neural network parameters
CDirectGraphicalModels::TrainNodeCvGMMParams	OpenCV Random Forest parameters
CDirectGraphicalModels::TrainNodeCvKNNParams	OpenCV k-Nearest Neighbors parameters
CDirectGraphicalModels::TrainNodeCvRFParams	OpenCV Random Forest parameters
CDirectGraphicalModels::TrainNodeCvSVMParams	OpenCV Support Vector machine parameters
CDirectGraphicalModels::TrainNodeGMMParams	Gaussian Mixture Model parameters
CDirectGraphicalModels::TrainNodeKNNParams	K-Nearest Neighbors parameters
CDirectGraphicalModels::TrainNodeMsRFParams	Microsoft Research Random Forest parameters
CDirectGraphicalModels::Triplet	Triplet structure