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