Modules

Here is a list of all modules:

[detail level 123]

▼DGM Module
▼Training	Sub-module containing classes for training (learning) probabilistic models
Unary Potentials Training	A set of methods for training and using unary classifiers for graph nodes
Pairwise Potentials Training	A set of methods for training and using pairwise classifiers for pairwise graph edges
▼Graph Building	Sub-module containing methods for building arbitrary pairwise and dense graphical models
Graph Extensions	A set of wrappers for building graphical models for 2D image classifaction
Graph Kit	Kit (factory) for constructing Graph-related objects
Inference / Decoding	Sub-module containing classes for performing precise and approximate inference in probabilistic models
Parameter Estimation	Sub-module containing techniques for estimation the probabilistic models' control parameters
Evaluation	Sub-module containing classes and methods for evaluation the classification results
▼FEX Module
Local Features Extraction
Global Features Extraction
VIS Module