搜索资源列表
Subpattern-based_principal___component_analysis.zi
- 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
EnrichedNaturalNeighborInterpolantsforTwo-Dimensio
- sukumar N.写的报告Enriched Natural Neighbor Interpolants for Two-Dimensional Crack Modeling-sukumar N. written report Enriched Natural Neighbor Interpolants for Two-Dimensional Crack Modeling
knn_som
- This function can inflexibly used by the programmers who want to find neighbor in som
face5
- 人脸识别matlab程序，采用五阶近邻法实现-Face recognition matlab procedures, the use of fifth-order neighbor method
Nearest_Neighbor_Interpolation
- MATLAB最近像素插值法对图像进行放大和缩小-MATLAB recently pixel interpolation method of image zoom in and out
Researchontheshapefeatureextractionandrecognition.
- 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而 可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别 层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in a
jinlinhanshu
- 近邻函数准则是模式识别中重要的聚类算法 有着极为广泛的应用-Neighbor function criterion is an important pattern recognition algorithm has a very wide range of applications
123456
- 根据所给样本数据用三种不同的方法绘制该公路并估计其长度。 分别用线性插值法、最近邻域插值法和三次样条插值法计算公路长度，并用勾股定理估计公路的长度 -According to the sample data in three different ways, the road map and estimate its length. , Respectively, by linear interpolation, nearest neighbor interpolation domain
Raw
- 本程序能够实现RAW文件和BMP图像的均衡化处理，RAW文件转化为BMP，图像缩放（最近邻差值方式、双线性插值、三次B样条插值），两幅图像的相似度比较-This procedure can be achieved RAW image files and BMP balanced treatment, RAW files into BMP, image scaling (the margin nearest neighbor approach, bilinear interpolation, th
w32_worm_Right
- In this computer arriving and infecting through MIRC disseminates and duplicates worm s noumenonn of worm file, in mirc catalogue , will produce a scr ipt.ini file , will let the worm be disseminated through Mirc communication software by this. In ad
IDASimulation
- 本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同-In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using t
Neighbor
- 局域网的网络编程，有获得网络邻居，给目的主机发消息，映射网络驱动器的功能-LAN network programming, to have access to Network Neighborhood, for the purpose of host发消息, Map Network Drive function
FH-signal
- 基于相空间优化近邻点的跳频预测方法研究.pdf-Based on Phase Space Optimization of neighbor points of the forecast method of frequency hopping. Pdf
luyousuanfa
- 1、发现它的邻居节点，并知道其网络地址。 2、测量到各邻居节点的延时或开销。 3、构造一个分组，分组中包含所有它刚刚知道的信息。 4、将这个分组发送给所有其他的路由器。 5、计算出到每个其他路由器的最短距离。 -1, found in its neighbor nodes, and to know its network address. 2, measured to the neighbor node latency or overhead. 3, constructs a
ImgRotate
- 实现图像处理中常见的图像旋转功能。运行程序时可以通过选择近邻域插值法、线性插值法或者三阶卷积插值三种复杂度不同的算法来实现。-Image processing to achieve common image rotation function. Can run the program by selecting the neighbor domain interpolation, linear interpolation, or third-order convolution interpolat
TLDA_1
- 人脸识别中TensorLDA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition TensorLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
TPCA
- 人脸识别中TensorPCA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition TensorPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
minipro
- 该系统功能：实现手写识别，能通过对样例库中的数据进行学习，然后能判别、分类新的输入样例。其中包含了Kn近邻算法，贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input
game1
- 最好邻居选择策略来改善移动自组织网络中自私节点的合作行为，通过matlab做的仿真实验。-Best neighbor strategy to enforce cooperation among selfish nodes in wireless ad hoc network
gaknn2008-12-08
- 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.