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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
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利用双线性插值和最近邻插值实现RGB图像的缩放，利用MATLAB编写-The use of bilinear interpolation and nearest neighbor interpolation to achieve RGB image scaling, using MATLAB to prepare
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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
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基于小波变换的人脸识别代码本代码对图像进行小波分解，然后又用最近邻方法实现了图像的识别。-Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!
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模式匹配最近邻算法相关资料与Matlab源代码-Nearest-neighbor algorithm for pattern matching information with the Matlab source code
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模式匹配最近邻算法相关资料neib与Matlab源代码-Nearest-neighbor algorithm for pattern matching information neib with the Matlab source code
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模式匹配最近邻算法相关资料Researchontheshapefeatureextractionandrecognition与Matlab源代码-Nearest-neighbor algorithm for pattern matching information Researchontheshapefeatureextractionandrecognition with the Matlab source code
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模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码,nearest neighbor-Nearest-neighbor algorithm for pattern recognition problem of matlab implementation, can be simulated to achieve the core of the nearest neighbor method is a good code, nearest neighbor
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模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
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2006编写的最近邻域内插源代码，可以实现图像的最近邻域内插-2006 prepared by the nearest neighbor interpolation within the source code can be achieved within the image of the nearest neighbor interpolation
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实现图像空间旋转，灰度插值操作，插值方法分别是最近邻法和二次线性法。-Achieve the image space rotation, gray-level interpolation operation, interpolation methods are nearest neighbor method and the second linear method.
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ORL人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。
真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 -ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sampl
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模式识别的最邻近算法的matlab实现，自编的。-Nearest neighbor algorithm for pattern recognition matlab implementation, designed instrument.
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我们使用MATLAB软件实现了人脸识别并统计其识别率。本实验采用PCA（主成分分析）方法，利用K-L变换和奇异值分解原理实现。并分别采用最近邻法分类器得出它们的成功率。-We use face recognition software and the MATLAB Statistics recognition rate. The present study, PCA (principal component analysis) method, using KL transform and sin
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图像插值放大，最近邻，双线性，双三次matlab实现-The image interpolation enlarge nearest neighbor, bilinear, bicubic matlab achieve
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图像插值算法有三种：最近邻插值、双线性插值和双三次插值，这里有前两种插值算法的matlab程序-Image interpolation algorithm has three: nearest neighbor interpolation, bilinear interpolation and bicubic interpolation, here are the first two interpolation algorithm matlab program
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最近邻法 matlab编写-Nearest neighbor method of matlab source code
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最近邻分类器代码和数据，MATLAB程序，可对数据进行计算距离，识别距离最近的数据。-Nearest neighbor classification code and data, MATLAB program, the data can be calculated the data identify the nearest.
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采用最近邻法对图像进行插值，进行n倍的缩放，有示例图片，有注释，可运行，欢迎交流。(Using the nearest neighbor method for image interpolation, n times zoom, there are examples of pictures, notes, can run, welcome exchanges.)
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对人脸进行特征提取，并使用K近邻算法得其识别率(Feature extraction is performed on the face and its recognition rate is obtained using K nearest neighbor algorithm)
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