文件名称:gmm_utilities
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- 上传时间:2016-03-23
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文件大小:26.56kb
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相关连接:Tim Bailey下载说明:别用迅雷下载,失败请重下,重下不扣分!
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This collection of MATLAB files perform operations on Gaussian mixture models (GMMs) and Gaussian kernels (ie, Parzen windows). These utilities do evaluation, sampling, multiplication, convolution, linear transformation, mixture reduction, etc. Presently, the code is under development so, while it works, it has not yet been properly documented or vectored for speed.
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下载文件列表
压缩包 : gmm_utilities.zip 列表 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 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
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