| alloc(const int number_of_kernel) | GMM | [inline] |
| dispparams() const | GMM | [inline] |
| em_thresh | GMM | |
| free() | GMM | [inline] |
| GMM(const double em_threshold=5.0e-2, const int max_iterations=50, const int min_iterations=5) | GMM | [inline] |
| GMM(const GMM &x) | GMM | [inline] |
| GmmEm(const std::vector< GMMFloatPnt > &pts) | GMM | |
| grabCutLikelihood(const GMMFloatPnt &x) const | GMM | [inline] |
| initkernels(const std::vector< GMMFloatPnt > &pts, const float sigma) | GMM | |
| kernel | GMM | |
| kmeansInit(const std::vector< GMMFloatPnt > &pts, const float sigma) | GMM | |
| learn(const std::vector< GMMFloatPnt > &pts) | GMM | |
| loadgmm(const fs::path &loadfilepath) | GMM | |
| max_iter | GMM | |
| maxProbability(const GMMFloatPnt &x) const | GMM | [inline] |
| min_iter | GMM | |
| minl2clustercenterdist(const GMMFloatPnt &x) const | GMM | [inline] |
| nk | GMM | |
| operator=(const GMM &x) | GMM | [inline] |
| probability(const GMMFloatPnt &x) const | GMM | [inline] |
| savegmm(const fs::path &savefilepath) const | GMM | |
| w | GMM | |
| which_kernel(const GMMFloatPnt &x) const | GMM | |
| ~GMM() | GMM | [inline] |