6approximate_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