搜索资源列表
otsu2
- 大津阈值分割法，也称最大类间方差法，利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统（即图像背景及目标）的信息量之间的差异。求出的交叉熵越大，则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
An_Empirical_Study_of_Smoothing_Techniques_for_Lan
- measure through the cross-entropy of test data. In addition, we introduce two novel smoothing techniques, one a variation of Jelinek-Mercer smoothing and one a very simple linear interpolation technique, both of which outperform existing
crosssampen
- It is cross sample entropy code It will be helpful for nonlinear dynamics
shilianglianghuafenlei
- 提出一种利用最小交叉熵优化方法的矢量量化分类算法， 将矢量的分类问题转化为最小失真函数估计问题，通过关联随机迭代算法逼近最优值，以更好的减小量化误差。-A minimum cross-entropy optimization of the use of methods of classification of vector quantization algorithm, the classification of the vector into the issue of minimum-dist
crossentropy2dpso
- 这是基于Tent映射粒子群的交叉熵阈值分割程序。-This is code of method based on Tent particle swarm optimization and cross-entropy.
MHt
- mht算法相关资料，宝贵啊。 mht算法相关资料，宝贵啊。-mht algorithms relevant information and valuable ah.
yiqun
- 蚁群信息素更新 使用随机梯度上升和交叉熵的方法-Updating ACO pheromones usingStochastic Gradient Ascent and Cross-Entropy methods.pdf
imagesegmentation
- 最优阈值的图像分割 基于一维最小交叉熵图像分割 便捷、快速的单一阈值图象分割-Optimal threshold for image segmentation based on minimum cross entropy one-dimensional image segmentation convenient, fast single-threshold image segmentation
ce_gauss
- Multivariate Gaussian Mixture Model Optimization by Cross Entropy
JiaoChaShang
- 文本挖掘中交叉熵算法实现,通过词汇左右出现的概率来计算交叉熵-Text mining cross entropy algorithm,The task of part2of2speech iden t if icat ion is to au tomat ically assign a part2of2speech tag to an unknow n wo rd w ith emp ty part2of2speech info r2 mat ion. A part2of2speech
pcnn2
- a simplified PCNN based on minimum cross entropy, can segment the images effectively
Applicationofthecrossentropymethodtoclusteringand
- Application of the cross-entropy method to clustering and vector quantization
threshold
- 采用最小交叉熵，最大熵，OTSU阈值分割-Using minimum cross entropy, maximum entropy, OTSU thresholding
fusion-evaluation
- 图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。-Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual i
minisum-maximum-otsu
- 实现最小交叉熵 最大熵 OTSU算法的小程序 简单实用-Minimum cross entropy maximum entropy OTSU algorithm procedure is simple and practical
image_fusion_code
- 包括灰度调制法融合(graymodulate)、对比度调制法融合(contrastmodulate)、正交多项式变换法(independencemulti)（及改进算法(independencemultiadd)）融合和彩色融合(colorfusion)及对融合图像的评价——熵（entropy）和交叉熵（cross_entropy）。在MATLAB7.0下可正常运行，并给出融合结果，操作简便。-Including gray scale modulation fusion (graymodulat
DataMining3rd
- 评测数据在去掉停用词的 分类过程开放测试中,引入Good-Turing算法的分类性能比Laplace原则提高了3·05 ,比Lidstone方法提高 1·00 .而在交叉熵选择特征词的算法中,增加Good-Turing的贝叶斯分类方法可比最大熵分类性能高95 .通过这种数据平滑的算法,有助于克服因数据稀疏而引发的特征词缺失问题 -Evaluation data in the open test of the classification process to remove stop
codeandpaper
- 很好的mATLAB代码，利用最大交叉熵，确定迭代次数，完成pcnn脉冲耦合神经网络的图像分割，效果很好-MATLAB good code,the use of maximum cross entropy, determine the number of iterations, complete PCNN image segmentation,result is good.
erweiyujiaocha
- 交叉熵与二维最大熵结合的算法，很有用处，效果较好。-Cross entropy combined with two-dimensional maximum entropy algorithm, useful, better.
regularization
- MATLAB code for gradient descent using cross-entropy error function and regularization