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WaveletBasedTextureRetrievalUsingGeneralizedGaussi
- 基于小波变换的特征检索算法，用了广义高斯函数和K-L距离为相似侧度 -Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance
kldiv
- KLDIV Kullback-Leibler or Jensen-Shannon divergence between two distributions.
kldiv
- Kullback-leibler divergence
wave_tex.tar
- A package for wavelet-based texture retrieval: MATLAB source code that produced the results in the paper Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance.
Toolboxv1.0
- Joaquin Goñ i <jgoni@unav.es> & Iñ igo Martincorena <imartincore@alumni.unav.es> University of Navarra - Dpt. of Physics and Applied Mathematics & Centre for Applied Medical Research. Pamplona
kld
- This function calculates the Kullback Leibler divergence distance for Gaussians.
ASA
- 自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are: - Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, - Vector Autoregressive mod
strcov
- Structured covariance estimation. The routine takes a covariance matrix as input and returns the Toeplitz matrix that lies closest to it, in the sense that it minimizes the Kullback-Leibler divergence between the two. In
kldiv
- Kullback-Leibler or Jensen-Shannon divergence between two distributions.
voice-box-GMM
- 语音处理GMM相关算法,1.计算概率密度并画出高斯混合模型，2.计算边际，条件混合高斯密度,3估计两个GMM模型的Kullback-Leibler divergence。-GMM relating to speech processing algorithms.1,to calculate probability densities from or plot a Gaussian mixture model.2,marginal and
KLdisttemp
- This is code to calculate Kullback-Leibler (KL) distance between histograms. It can apply for 2D image
kld
- This function calculates the Kullback Leibler divergence distance for Gaussians.
xm_CPTDistanceCompare
- BN网络参数之间的KL距离 (Kullback–Leibler Distance) 计算，用于比较相似度-BN KL distance between network parameters calculation, used to compare similarity
Tper prentod
- This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and bias field estimation of medical images. An energy function is formulated based on improved Kullb