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Classify_Homework
- 模式识别作业——用平均样本法，平均距离法，最近邻法和K近邻法进行分类-pattern recognition operations -- with the average sample, the average distance, nearest neighbor and K-nearest-neighbor classification
KwithC-neighbor
- 用C语言对K近邻法进行的模式识别，包括说明及程序。-K with C-neighbor method of pattern recognition, including a descr iption of and procedures.
PatternRecognition
- 人脸识别 使用k-近邻法分类 区分不同的人 使用K-近邻法实现对指定人脸图片的识别。 训练集和测试集的划分 -Recognition of face in pattern recognition,By KNN space representation theorem
ClassifyHomework
- 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.
zuijinlinfenlei
- 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
extendimage
- 根据模板大小对图像扩展，最近邻法，matlab-According to the template image size on expansion, k-nearest-neighbors, matlab
K
- 近邻法的基本思想是在测试样本x的k个近邻中，按出现的样本类别来作为x的类别，即先对x的k个近邻一一找出它们的类别，然后对x类别进行判别，即在N个训练样本中，找出x的k个近邻。-The basic idea of the nearest neighbor method in the test sample x k nearest neighbors, according to the type of the sample of x as a category, that is, first k n
floaterK1
- 这是用MTTLAB编程，采用K近邻法对提取的水面漂浮物特征进行分类-This is programming MTTLAB, K-nearest neighbor method floats feature to classify the extracted water
knn
- k近邻法的线性扫描算法的python详细代码，并附有详细注释-k nearest neighbor linear scanning algorithm python code in detail, along with detailed notes
jinlin
- 最近邻法，K-近邻法，剪辑近邻法和压缩近邻法。模式识别-Nearest neighbor, K- nearest neighbor, editing and compression nearest neighbor nearest neighbor method. Pattern Recognition
基于SIFT算法的图像特征点提取与匹配
- 文章深入研究了 SIFT 特征点提取的原理及过程，以基于 K-D 树结构的近邻算 法对呈线性变换的两幅图像在不同视角和噪声干扰情况下进行了特征点的粗匹 配，并通过随机抽样一致性算法(Random Sample Consensus)进行特征点的提纯，删 除例如错误的匹配特征点对。针对粗匹配后误匹配点对较多导致的 RANSAC 算法 效率降低、运算时间变长的情况，论文以视差梯度约束对粗匹配点对进行预筛选， 提升了 RANSAC 算法的效率。根据匹配点对空间位置关系得出图像之间的变换模 型；最后将图像