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