| Cvpdl_mixture< T, n >::component | A struct to hold the component distributions and weights |
| Cvpdt_mixture_of< dist_t >::component | A struct to hold the component distributions and weights |
| ▼Cdist_t | |
| Cvpdt_num_obs< dist_t > | Attach a "number of observations" variable to any distribution |
| Cvpdt_num_components_accessor< mixture_type, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_weight_accessor< mixture_type, Disambiguate >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_weight_accessor< mixture_type, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_mixture_accessor< mixture_type, accessor_type, Disambiguate >::rebind< other_dist, other_accessor > | Rebind this functor to another distribution type |
| Cvpdt_mixture_accessor< mixture_type, accessor_type, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type >::rebind< other_dist, other_accessor > | Rebind this functor to another distribution type |
| Cvpdt_num_components_accessor< mixture_type, Disambiguate >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_mixture_accessor< mixture_type, vpdt_weight_accessor< typename mixture_type::component_type >, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type >::rebind< other_dist, other_accessor > | Rebind this functor to another distribution type |
| Cvpdt_dimension_accessor< dist_type >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_mean_accessor< dist_type >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_covar_accessor< dist_type >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_norm_const_accessor< dist_type >::rebind< other_dist > | Rebind this functor to another distribution type |
| Cvpdt_mixture_of< dist_t >::sort_adaptor< comp_type_ > | This adaptor allows users to define ordering functors on the components without accessing the components directly |
| Cvpdl_mixture< T, n >::sort_adaptor< comp_type_ > | This adaptor allows users to define ordering functors on the components without accessing the components directly |
| Cvpdt_mixture_of< dist_t >::sort_weight | This functor is used by default for sorting with STL |
| Cvpdl_mixture< T, n >::sort_weight | This functor is used by default for sorting with STL |
| ▼Cvpdl_distribution< T, n > | The base class for all probability distributions |
| ▼Cvpdl_gaussian_base< T, n > | The abstract base class for Gaussian distributions |
| Cvpdl_gaussian< T, n > | A Gaussian with variance independent in each dimension |
| Cvpdl_gaussian_indep< T, n > | A Gaussian with variance independent in each dimension |
| Cvpdl_gaussian_sphere< T, n > | A Gaussian with (hyper-)spherical covariance |
| ▼Cvpdl_multi_cmp_dist< T, n > | The base class for all multiple component probability distributions |
| ►Cvpdl_kernel_base< T, n > | A base class for kernel (aka Parzen window) distributions |
| ►Cvpdl_kernel_fbw_base< T, n > | A base class for fixed bandwidth kernel distributions |
| Cvpdl_kernel_gaussian_sfbw< T, n > | A fixed bandwidth spherical Gaussian kernel distribution |
| Cvpdl_kernel_vbw_base< T, n > | A base class for variable bandwidth kernel distributions |
| Cvpdl_mixture< T, n > | A mixture of distributions |
| ▼Cvpdl_distribution< vpdt_dist_traits< dist_t >::scalar_type, n > | |
| ▼Cvpdl_multi_cmp_dist< vpdt_dist_traits< dist_t >::scalar_type, vpdt_dist_traits< dist_t >::dimension > | |
| Cvpdl_mixture_of< dist_t > | A mixture of a fixed type of distributions |
| Cvpdt_covar_accessor< dist_type > | An accessor to return the covariance of the distribution |
| Cvpdt_dimension_accessor< dist_type > | An accessor to return the variable dimension of the distribution |
| Cvpdt_disable_if_c< B, T > | |
| ▼Cvpdt_disable_if_c< Cond::value, T > | |
| Cvpdt_disable_if< Cond, T > | |
| Cvpdt_disable_if_c< true, T > | |
| Cvpdt_dist_traits< dist > | The distribution traits class |
| Cvpdt_eigen_sym_matrix< T, n > | A symmetric matrix represented in eigenvalue decomposition |
| Cvpdt_eigen_sym_matrix< T, 1 > | A symmetric matrix represented in eigenvalue decomposition |
| Cvpdt_eigen_sym_matrix_gen< F, Disambiguate > | Generate the vpdt_eigen_sys_matrix type from a field type |
| Cvpdt_eigen_sym_matrix_gen< F, typename vpdt_field_traits< F >::type_is_scalar > | Generate the vpdt_eigen_sys_matrix type from a field type |
| Cvpdt_eigen_sym_matrix_gen< F, typename vpdt_field_traits< F >::type_is_vector > | Generate the vpdt_eigen_sys_matrix type from a field type |
| Cvpdt_eigen_sym_matrix_gen< vnl_vector_fixed > | |
| Cvpdt_enable_if_c< B, T > | |
| ▼Cvpdt_enable_if_c< Cond::value, T > | |
| Cvpdt_enable_if< Cond, T > | |
| Cvpdt_enable_if_c< false, T > | |
| Cvpdt_field_default< T, n > | Generate the default field type for scalar type T and dimension n |
| Cvpdt_field_default< T, 0 > | Generate the default field type for scalar type T and dimension n |
| Cvpdt_field_default< T, 1 > | Generate the default field type for scalar type T and dimension n |
| Cvpdt_field_traits< T > | The field traits class (scalar) |
| Cvpdt_field_traits< F > | |
| Cvpdt_field_traits< field_type > | |
| Cvpdt_field_traits< vector > | |
| Cvpdt_field_traits< vnl_vector< T > > | The field traits class (vnl_vector) |
| Cvpdt_field_traits< vnl_vector_fixed< T, n > > | The field traits class (vnl_vector_fixed) |
| Cvpdt_gaussian< F, Covar, Metric > | A Gaussian with variance independent in each dimension |
| Cvpdt_gaussian< vnl_vector_fixed > | |
| Cvpdt_gaussian< vnl_vector_fixed, covar_type > | |
| Cvpdt_gaussian< vnl_vector_fixed, vnl_vector_fixed > | |
| Cvpdt_gaussian_integrator< F, Covar, Metric, Disambiguate > | Forward declare integration helper struct |
| Cvpdt_gaussian_integrator< F, F, vpdt_norm_metric< F, F >, typename vpdt_field_traits< F >::type_is_scalar > | Integrate over a Gaussian distribution |
| Cvpdt_gaussian_integrator< F, F, vpdt_norm_metric< F, F >, typename vpdt_field_traits< F >::type_is_vector > | Integrate over a Gaussian distribution |
| Cvpdt_gaussian_integrator< F, typename vpdt_eigen_sym_matrix_gen< F >::type, vpdt_norm_metric< F, typename vpdt_eigen_sym_matrix_gen< F >::type >, typename vpdt_field_traits< F >::type_is_vector > | Integrate over a Gaussian distribution |
| Cvpdt_gaussian_integrator< F, typename vpdt_field_traits< F >::scalar_type, vpdt_norm_metric< F, typename vpdt_field_traits< F >::scalar_type >, typename vpdt_field_traits< F >::type_is_vector > | Integrate over a Gaussian distribution |
| Cvpdt_gaussian_mthresh_detector< gaussian_type > | A simple Mahalanobis distance detector for a Gaussian |
| Cvpdt_is_equal< T1, T2 > | Helper class to check that two types are equal |
| Cvpdt_is_equal< T, T > | Helper class to check that two types are equal |
| Cvpdt_is_mixture< dist > | |
| Cvpdt_is_mixture< vpdt_mixture_of< dist > > | |
| Cvpdt_mean_accessor< dist_type > | An accessor to return the mean of the distribution |
| Cvpdt_mixture_accessor< mixture_type, accessor_type, Disambiguate > | A functor to apply another functor to the component with given index |
| Cvpdt_mixture_accessor< mixture_type, accessor_type, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type > | A functor to apply another functor to the component with given index |
| Cvpdt_mixture_accessor< mixture_type, vpdt_weight_accessor< typename mixture_type::component_type >, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type > | A specialization to make the weight accessor work as a mixture accessor |
| Cvpdt_mixture_all_detector< mixture_type, detector_type > | Apply a detector to each component to see if ALL match |
| Cvpdt_mixture_any_detector< mixture_type, detector_type > | Apply a detector to each component to see if ANY match |
| Cvpdt_mixture_of< dist_t > | A mixture of a fixed type of distributions |
| Cvpdt_mixture_top_weight_detector< mixture_type, detector_type > | Apply a detector to each component in order while the total weight is below a threshold |
| Cvpdt_mog_fitness< gaussian_type, Disambiguate > | The Stauffer-Grimson ordering function of mixture component fitness |
| Cvpdt_mog_fitness< gaussian_type, typename vpdt_is_equal< typename vpdt_dist_traits< gaussian_type >::scalar_type, typename gaussian_type::covar_type >::type > | The Stauffer-Grimson ordering function of mixture component fitness |
| ▼Cvpdt_mog_updater< mog_type > | A mixture of Gaussians updater |
| Cvpdt_mog_lee_updater< mog_type > | A mixture of Gaussians adaptive updater based on D |
| Cvpdt_mog_lm_updater< mog_type > | A mixture of Gaussians adaptive updater base on Leotta-Mundy |
| Cvpdt_mog_sg_updater< mog_type > | A mixture of Gaussians adaptive updater based on Stauffer-Grimson |
| Cvpdt_norm_const_accessor< dist_type > | An accessor to return the normalization constant of the distribution |
| Cvpdt_norm_metric< F, Tensor, Disambiguate > | A metric in field F with metric tensor Tensor |
| Cvpdt_norm_metric< F, typename vpdt_eigen_sym_matrix_gen< F >::type, typename vpdt_field_traits< F >::type_is_vector > | A metric in field F with vpdt_eigen_sym_matrix covariance |
| Cvpdt_norm_metric< F, typename vpdt_field_traits< F >::scalar_type, typename vpdt_field_traits< F >::type_is_scalar > | A metric in field F with scalar variance |
| Cvpdt_norm_metric< F, typename vpdt_field_traits< F >::scalar_type, typename vpdt_field_traits< F >::type_is_vector > | A metric in field F with scalar (scaled identity matrix) covariance |
| Cvpdt_norm_metric< F, typename vpdt_field_traits< F >::vector_type, typename vpdt_field_traits< F >::type_is_vector > | A metric in field F with vector (diagonal matrix) covariance |
| Cvpdt_num_components_accessor< mixture_type, Disambiguate > | A functor to return the number of components in a mixture |
| Cvpdt_num_components_accessor< mixture_type, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type > | A functor to return the number of components in a mixture |
| Cvpdt_update_covariance< F, Covar, Disambiguate > | Specialized classes to update covariance of different types |
| Cvpdt_update_covariance< F, typename vpdt_eigen_sym_matrix_gen< F >::type, typename vpdt_field_traits< F >::type_is_vector > | Specialized classes to update covariance of different types |
| Cvpdt_update_covariance< F, typename vpdt_field_traits< F >::scalar_type, typename vpdt_field_traits< F >::type_is_scalar > | Specialized classes to update covariance of different types |
| Cvpdt_update_covariance< F, typename vpdt_field_traits< F >::scalar_type, typename vpdt_field_traits< F >::type_is_vector > | Specialized classes to update covariance of different types |
| Cvpdt_update_covariance< F, typename vpdt_field_traits< F >::vector_type, typename vpdt_field_traits< F >::type_is_vector > | Specialized classes to update covariance of different types |
| Cvpdt_weight_accessor< mixture_type, Disambiguate > | A functor to return the weight of the component with given index |
| Cvpdt_weight_accessor< mixture_type, typename vpdt_enable_if< vpdt_is_mixture< mixture_type > >::type > | A functor to return the weight of the component with given index |
