搜索资源列表
图像插值(最近邻域和双线性)
- Matlab程序
LinearDiscriminant.rar
- 线形判别分析算法和knn最近邻算法的实现,Linear discriminant analysis algorithm and KNN nearest neighbor algorithm
interpolation.rar
- 几种传统的图像插值放大方法:最近邻插值法,双线性插值法,双三次插值法,Several traditional interpolation to enlarge the image : nearest neighbor interpolation, bilinear interpolation, bicubic interpolation.
regnize
- 实现0-9个手写数字的识别 使用了多种方法:最近邻、势函数、神经网络、贝叶斯分类器-To achieve recognition handwritten digits 0-9 using a variety of methods: the nearest neighbor, potential function, neural networks, Bayesian classifier
KNN
- 最近邻分类java实现,还有测试用例,这是用eclipse开发的,也可以把源文件拷贝出来。-nearst neighbor java
knn.kmeans.fisher
- 常用的分类方法,包括最近邻(NN),k均值(kmeans),k近邻,Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
KL
- 基于KL变换的特征提取的方法。 选取数据库中的部分样本(每个人的前5张图片)作为训练样本,其余作为未知的测试样本。从训练样本中得到KL变换矩阵,然后对训练样本和测试样本都进行变换,用变换后的数据作最近邻识别,距离可以为对应灰度值之差的平方和,统计识别率。-KL transform based feature extraction method. Select the database part of the sample (each person' s top 5 pictures)
The-nearest-image-rotation-algorithm
- 最近邻图像旋转算法,使用VS2005+MFC-The nearest image rotation algorithm
dance
- 此题是用最近邻域法实现图像缩放,供菜鸟练习用,这种算法不高清-This problem is the nearest neighbor domain method to achieve image scaling for the rookie practice with, this algorithm does not high-definition
project1
- 放大和缩小图像,采用最近邻域内插和像素复制法放大图像,采用像素删除法缩小图像-Zoom in and out using the nearest neighbor interpolation and pixel replication method to enlarge the image, pixel deletion method to reduce the image
mkriging
- matlab编写的克里金插值程序和最近邻值点和距离反比例插值程序-Kriging
2D-LDA
- 2维线性判别进行人脸识别的程序,很不错!采用ORL人脸库,取每人的1、3、5、7、9五幅图像作为训练图像,其余作为测试图像,进行二维线性判别。计算出特征向量矩阵,降序排列后,取前d(d=2,4,6,……,20)个特征向量组成的矩阵作为变换矩阵,对训练集合测试集进行特征重建,最后采用最近邻分类器。附有实验的结果。-code for face recognition based 2D-LDA,the performance is nice!
tspproblem
- 自己编写的,TSP问题的各种近似算法,有最近邻策略,最短链接策略-I have written, TSP approximation algorithm for a variety of issues, there are nearest-neighbor strategy, the shortest link strategy
pca
- 运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
nearestneighboralgorithm
- 自己写的,模式识别最近邻算法实现,配有IRIS数据集,非常实用-Their own writing, pattern recognition, nearest neighbor algorithm, with IRIS data set, very useful
knn
- 使用C语言编写的最近邻算法,可以直接运行,算法是对鸢尾花数据进行了分类。-Written in C language using the nearest neighbor algorithm can be run directly, the algorithm is the iris data are classified.
空间插值方法汇总
- Inverse Distance to a Power(反距离加权插值法) Kriging(克里金插值法) Minimum Curvature(最小曲率) Modified Shepard s Method(改进谢别德法) Natural Neighbor(自然邻点插值法) Nearest Neighbor(最近邻点插值法) Polynomial Regression(多元回归法) Radial Basis Function(径向基