gmm_utilities

.............\approximate_gauss_by_gmm.m

.............\approximate_gauss_by_kernels.m

.............\Contents.m

.............\covariance_intersect.m

.............\gauss_divide.m

.............\gauss_multiply.m

.............\gmm_addition.m

.............\gmm_conditional.m

.............\gmm_convolve.m

.............\gmm_correlate.m

.............\gmm_counting_algorithm.m

.............\gmm_covariance_intersect.m

.............\gmm_derivative.m

.............\gmm_derivative_parameters.m

.............\gmm_display_1D.m

.............\gmm_display_2D_contour.m

.............\gmm_distance_bayes.m

.............\gmm_distance_bhattacharyya.m

.............\gmm_distance_KLD.m

.............\gmm_divide.m

.............\gmm_em.m

.............\gmm_em_auto.m

.............\gmm_entropy.m

.............\gmm_evaluate.m

.............\gmm_marginal.m

.............\gmm_multiply.m

.............\gmm_normalise.m

.............\gmm_reduce_merge.m

.............\gmm_reduce_truncate.m

.............\gmm_remove_zeros.m

.............\gmm_samples.m

.............\gmm_samples_old.m

.............\gmm_slice.m

.............\gmm_subtract.m

.............\gmm_to_gaussian.m

.............\gmm_transform.m

.............\gmm_update.m

.............\gmm_update_linearised.m

.............\kernel_convolve.m

.............\kernel_distance_bayes.m

.............\kernel_distance_bhattacharyya.m

.............\kernel_distance_KLD.m

.............\kernel_divide.m

.............\kernel_evaluate.m

.............\kernel_multiply.m

.............\kernel_normalise.m

.............\kernel_reduce_merge.m

.............\kernel_reduce_truncate.m

.............\kernel_samples.m

.............\kernel_to_gaussian.m

.............\kernel_transform.m

.............\kernel_update.m

.............\KF_update_w.m

.............\KF_update_w_simple.m

.............\make_random_gmm.m

.............\Notes.txt