搜索资源列表
KLmethod
- 【共享】KL变换得 源程序! 别人写的,借用!-share-- in KL transform source! Others wrote, borrowing!
KL
- KL变换,matlab实现,可以继续修改。-KL transform, matlab realize, you can continue to modify.
KL
- 一个不错的KL变换源程序,可以看看,学习并且交流-KL transform a good source, you can see, learning and sharing
chengxu
- 这是基于PCA的人脸识别,用MATLAB编写,包含了K-L变换,奇异值分解等方法,且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the mini
kl_transform
- KL变换的MATLAB源码程序,用于图形图像地震资料等的处理。效果良好。-KL transform MATLAB source code program for graphic images such as seismic data processing. Good results.
KL
- 数据挖掘中计算KL距离在matlab环境下的代码-KL distance calculations in data mining environment in matlab code
palm-matlab
- 掌纹识别的matlab程序,包括最大内切圆求法,KL变换,小波变换,欧式距离识别方法-Palmprint recognition matlab program, including the largest inscribed circle Method, KL transform, wavelet transform, Euclidean distance to identify methods
bufengtouzhen
- 布冯投针 找一根铁丝弯成一个圆圈,使其直径恰恰等于平行线间的距离d。可以想象得到,对于这样的圆圈来说,不管怎么扔下,都将和平行线有两个交点。因此,如果圆圈扔下的次数为n次,那么相交的交点总数必为2n。 现在设想把圆圈拉直,变成一条长为πd的铁丝。显然,这样的铁丝扔下时与平行线相交的情形要比圆圈复杂些,可能有4个交点,3个交点,2个交点,1个交点,甚至于都不相交。 由于圆圈和直线的长度同为πd,根据机会均等的原理,当它们投掷次数较多,
face-detection-for-K-L-transform
- 基于K-L变换的人脸识别技术主要思想是:提取输入人脸图像矩阵的特征向量,并与图像数据库中样本特征的向量求欧氏距离,距离小于阈值时便认为识别成功。本程序即为利用K-L原理实现人脸检测的实例。-The main idea of the face recognition technology based on KL transform is: extract the matrix of the input face
KLdisttemp
- This is code to calculate Kullback-Leibler (KL) distance between histograms. It can apply for 2D image
KL
- 计算数据集间的Kl距离,用于评估数据间的分布一致性-calculate the the distance between two data set, uate the distribution between two data set
Kl
- 计算文本相似度,输出文本间KL距离,JS距离-Calculate the text similarity, the KL distance and JS distancetext of text。
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
4fab7b56a46f4
- 根据现有的程序,对两幅图像分别进行二维小波变换,分别对变换后得到的水平,垂直以及对角细节子带的小波系数进行直方图统计,然后用广义高斯函数去近似三个直方图,分别得到尺度参数和形状参数,求出对应图像的KL距离。(According to the existing programs, the two images respectively, two-dimensional wavelet transform respectively to l