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Description: 在数字图像处理中，用kl变换对特征值提取与选择-In digital image processing, using kl transform eigenvalue extraction and selection
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Author: xiechaocheng |
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Description: unh tyhnpl. b. yu.k l,cemclwr,m-cum45iogvpo67b,54onu, l7n
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Size: 58368 |
Author: 张宏利 |
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Description: pku 3613 Cow Relays
题意：给一个无向图，求从起点s到终点e尽力n条边的路径最小值。
边的数量2<=t<=100(每条边可以重复遍历)
算法：利用dp求出 path[ l ] [ i ] [ k ]=MIN(path[ l ][ i ] [ k ] , path[ l ][ i ] [ j ] + path[ l ][ j ] [ k ])
l 表示的是2的指数，假设 i 到 k 要途径 2^l 条边，那么他可以被分为两段 途径2^（l - 1）的路径。
利用开始的输入，然后递推，就可以推出所有的状态。
当需要找途经N条边的路径最小值时.将上面的值有效的组合起来.
上面求出了 1 2 4 8 16 …… 时的任意两条边的代价
对应的二进制是 1 10 100 1000 10000 ……
N可以拆成相应的二进制，然后用类似矩阵相乘的方法，往下推，就得到答案
m表示节点个数，(aXb)表示a行b列的矩阵一个 ，那么（1Xm）* path[ l ](mXm) 。
最终复杂度为O（t^3logn）
-Cow Relays
Time Limit: 1000MS Memory Limit: 65536K
Total Submissions: 1163 Accepted: 433
Description
For their physical fitness program, N (2 ≤ N ≤ 1,000,000) cows have decided to run a relay race using the T (2 ≤ T ≤ 100) cow trails throughout the pasture.
Each trail connects two different intersections (1 ≤ I1i ≤ 1,000 1 ≤ I2i ≤ 1,000), each of which is the termination for at least two trails. The cows know the lengthi of each trail (1 ≤ lengthi ≤ 1,000), the two intersections the trail connects, and they know that no two intersections are directly connected by two different trails. The trails form a structure known mathematically as a graph.
To run the relay, the N cows position themselves at various intersections (some intersections might have more than one cow). They must position themselves properly so that they can hand off the baton cow-by-cow and end up at the proper finishing place.
Write a program to help position the cows. Find the shortest path that
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Author: zhang |
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Description: K-l变换与奇异值基础的图像处理编程基础，及相关的源码,是相关学习人员不可缺少的理论资料！-Kl transform and singular value-based programming-based image processing, and related source code, is relevant to study the theory of indispensable information on staff!
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Size: 797696 |
Author: song |
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Description: 最新的反向K-L人脸识别算法文献，2004年发表在IEEE上-The latest literature Reverse KL Face Recognition Algorithm
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Size: 676864 |
Author: yaoyao |
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Description: K-L变换在人脸识别中的应用-KL transform in face recognition application! ! ! ! ! ! !
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Size: 1024 |
Author: 卢绪军 |
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Description: 一般性的奇异值分解算法，float浮点型。-SGGSVD computes the generalized singular value decomposition (GSVD)
* of an M-by-N real matrix A and P-by-N real matrix B:
*
* U*A*Q = D1*( 0 R ), V*B*Q = D2*( 0 R )
*
* where U, V and Q are orthogonal matrices, and Z is the transpose
* of Z. Let K+L = the effective numerical rank of the matrix (A ,B ) ,
* then R is a K+L-by-K+L nonsingular upper triangular matrix, D1 and
* D2 are M-by-(K+L) and P-by-(K+L) "diagonal" matrices and of the
* following structures,
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Size: 36864 |
Author: muxihan |
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Description: ubuntu总结，都是一般小实验，每个都调试通过-a b c d e f g h i j k l m n o p q r s t
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Size: 318464 |
Author: chaobo |
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Description: 根据两类训练集样本分别计算协方差矩阵作为产生矩阵进行K-L变换，与一般的整体产生的产生矩阵进行K-L变换只是存在向量上的平移-According to two kinds of training set samples separately calculated covariance matrix as produced by k-l transform matrix, and the whole of general produced by k-l matrix transformation of vector is existing translation
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Size: 2048 |
Author: 蔡远学 |
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Description: 1.对一个256*256的图像进行DCT变换得到图像D，将D得斜下角数值置为零，然后进行DCT反变换.
2.对源图像进行K-L转换
1和2比较-1.Get a grey level image which size is N*N. (For example, 256*256, however,
N = ), and partition to 8*8 sub images.
2.. Apply DCT to these sub images, and get the transformed image D with DCT
coefficients for elements.
3. From D, keep the coefficient values for only upper left triangular region and set
zeros for lower right region to approximate the image. (That is, only half of data
is used.)
4.Take Inverse DCT to get the approximated image.
2 . Get the covariance matrix of image.
3 . Calculate the corresponding eigenvectors and eigenvalues.
4 . Represent the original image with Singular Value Decomposition.
5 . Approximate the image by taking off the 4 smallest eigenvalues. (That is, only
half of information is used.)
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Size: 1024 |
Author: zhengyan |
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Description: 实现k-l变换，代码短，效率高，适合初学者进行上机练习，原理简单，比较容易懂和实现。-Achieve kl transformation, the code short, high efficiency, suitable for beginners to practice on the machine, simple in principle, relatively easy to understand and achieve.
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Size: 1024 |
Author: 张春云 |
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Description: 图形变换源码集，包括霍特林变换(K-L变换)，沃尔什哈达玛反变换，VC实现-Graphic transformation source code sets, including the Hotelling transform (KL transform),沃尔什哈达玛inverse transform, VC implementation
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Size: 8192 |
Author: 张海龙 |
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Description: 通过K-L特征提取实现由六维数据降为三维-Karhunen-Loeve feature extract
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Size: 1024 |
Author: xiaobailu |
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Description: 串的模式匹配可以从模式p的p[k]开始与正文t的t[j+i]开始依次比较，（若p[k]==t[j+i]继续比较p[k+1]=？=t[j+i+1]直至出现p[k+l]！=t[j+i+l-1]时，重新寻找新的p[k+l]的那个最大k 然后再比较p[k ]=？=t[j+i+l]直至匹配或遍历结束）。省去了前面的k次比较。当对应p[i]的k有多个，取最大的k。-Pattern matching string from the pattern p, p [k] started with the body of t, t [j+ i] began to turn more, (if p [k] == t [j+ i] continues to compare p [k+1] =? = t [j+ i+1] until the emergence of p [k+ l]! = t [j+ i+ l-1], to re-search for new p [k+ l] in that the largest k ' and then Comparison of p [k' ]=?= t [j+ i+ l] until the end of the match or traversal). Eliminating the need for the previous k comparisons. When the corresponding p [i] k-there are several, take the largest k.
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Size: 9216 |
Author: 王蕾 |
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Description: 用k-l变换实现人脸识别，7组训练样本加上7组测试样本-Kl Transform using face recognition, seven groups with seven groups of training samples tested samples
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Size: 1024 |
Author: 王凯莉 |
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Description: KL变换的人脸识别算法，matlab编程。-face recognition based on K-L.
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Size: 28672 |
Author: 刘莲 |
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Description: 实现人体骨骼模型行走。左方向键<- 左旋转/暂停
右方向键-> 左旋转/暂停
上方向键(up) 放大
下方向键(down) 缩小
W 上升
S 下降
G 走步
H 抬左手
J 抬右手
L 抬左腿
K 抬右腿
现在走步一次走一步，看得较清楚了。
-Achieve human skeleton walking. Left arrow keys < - left rotation/right-arrow keys to suspend-> left rotation/pause on the arrow keys (up) to enlarge under the direction of key (down) reduce the increase in S W G walking down H lift lift his left leg J K L lifted his right hand lift right leg is now walking a mile, see better in the.
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Size: 11549696 |
Author: liu |
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Description: 实验二 可化为线性的非线性回归模拟
计量经济学实验
一 实验目的：
（1） 掌握可化为线性的非线性回归模型的估计方法。
（2） 掌握参数的线性约束检验方法。
二 实验要求：应用教材第91页第11题做回归分析并判断。
三 实验原理：普通最小二乘法、模型参数受约束检验法。
四 预备知识：最小二乘法估计原理、t检验、F检验。
五 实验步骤
1 建立工作文件并录入数据
建立Workfile后，进行数据录入工作，方法：在主界面命令栏键入data Y K L，得到表格，然后输入相应的数据，结果如图1.1所示。
-Experiment 2 can be turned into a linear nonlinear regression simulation experiment: (1) linear control can be turned into non-linear regression model estimation. (2) Linear constraint control testing methods. Second test requirements: Application materials Page 11 of 91 questions to do regression analysis and judgments. Three experimental principle: ordinary least squares method, the model parameters to be bound test. 4 Prerequisites: Principles of least squares estimates, t test, F test. Five steps to an experiment to establish the working paper and data entry after the establishment of Workfile, data entry work method: the main interface command bar type data YKL, get the form, and then enter the appropriate data, the results shown in Figure 1.1.
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Size: 202752 |
Author: Glory.Chen |
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Description: matlab实现K-L变换,可用于图像去噪，地震资料去噪-K-L transform. It can be used in noise reduction and image enhancement
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Size: 1024 |
Author: 田妮 |
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Description: 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.
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Size: 1544192 |
Author: cxianfa |
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