搜索资源列表
EM_GM
- % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input data, n=number of observations, d=dimension of variable % k - maximum number of Gaussian components allowed % ltol - percentage of the log likeli
KLmethod
- k-l method 源码 很好用的 下载用用吧 :-)真的很不错哦
K-L
- 模式向量维数太大,无法进行模式识别,降维 -k-l
Eigenface-based-face-recognition
- 基于特征脸和K-L变换的人脸识别系统,人脸识别方面的基本方法-Feature-based face recognition systems and KL transform, the basic method of face recognition
K-L
- 基于K-L算法的人脸识别matlab程序代码-KL-based face recognition algorithm matlab code
K-LjiaLDA
- K-L+LDA结合了K-L和LDA优点的一个算法-K-L+ LDA combination of KL and the advantages of an algorithm for LDA
coherence_MVDR
- 基于MVDR算法,计算两个信号的相关性的函数。-This program computes the coherence function between 2 signals x1 and x2 with the MVDR method. This algorithm is based on the paper by the same authors: J. Benesty, J. Chen, and Y. Huang, "A generalized MVDR sp
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
getZNparam
- PID控制算法中,根据一节延迟传递函数的放大倍数K、延迟时间L和时间常数T,获得PID中比例环节、微分环节和积分环节的参数-PID control algorithm, according to a delay in the transfer function of magnification K, the delay time L and time constant T, to obtain the proportion of PID in the link, differential and
advanced_solvement_of_quadratic_root
- 求解平方根的改进算法,运用U(k,i)=U(k,i)-U(q,k)*U(q,i)/U(q,q);L(i,k)=U(k,i)/U(k,k)-An improved algorithm for solving square root, the use of U (k, i) = U (k, i)-U (q, k)* U (q, i)/U (q, q) L (i, k) = U (k, i)/U (k, k)
KL100
- K-L特征压缩器的原理是利用K-L变换的优良性质,即K-L变换可消除原向量各分量间的相关性。-KL compressor characteristic is the use of KL transform the principle of good nature, that the original vector of KL Transform to eliminate the correlation between the various components.
anp
- NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法,它是在网络分析法(AHP)基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个: 1 确定因素,并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足,则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)
publicationdtl
- S u r f e r自动控制技术在气象资料 自动成图中的应用 -Ab s t r a c t : The ma i n f un c t i o n s o f Su r fe r s o f t wa r e,Ac t i v e X a u t o ma t i o n t e c h ni q ue a nd t he i n t e r fa c e o f VB a p p l i c a t i o n a n d S u r
KL
- 通过K-L特征提取实现由六维数据降为三维-Karhunen-Loeve feature extract
moja_PVA_normiran_KNN_koncan
- PCA with K-nn classifier(for pictures)
Blind_recognition_STBC
- The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-p
veryusefulfacerecognition
- 这里面有三个:k-L人脸识别的代码(可以直接用,qq:285494355),以及2D-LDA人脸识别,以及一个图像分割的程序。-K-L and 2D-LDA face recognition ,it s useful and can be used directly.
LDA_KNN
- 对随机选择的iris数据,用LDA进行特征提取,然后用K近邻分类器分类的完整程序-Feature extraction using LDA,and perform classification via KNN
k_means
- k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant
K-L-change
- 不考虑类别信息对整个样本集进行K-L变换 利用类平均向量提取判别信息-Does not consider the category information for the entire sample set KL transform the use of mean vector to extract discriminant information