搜索资源列表
MyBitmapImg
- 本程序实现位图的读写，均衡化，滤波，LBP，LTP特征提取以及基于LBP，LTP和卡方距离，最近邻分类的人脸识别，批量给图片改名等功能-The program can read and write a bitmap, equalization, filtering, LBP, LTP feature extraction and nearest neighbor classifier for face recognition based on LBP, LTP and chi-square d
Interpolation-Technique-for-WZVC
- The manuscr ipt describes performance comparison of nearest-neighbor interpolation and bilinear to reduce the complexity of decoder WZVC.
lbp2012_10
- 主要是基于LBP的图像的纹理特征的提取与识别，很适合大家学习！-DemoOutexDisCLBP.m: Matlab scr ipt to run disCLBP experiments on the Outex_TC_00012 database NNClassifier.m: Nearest neighbor classifier based on L1 distance MergeDominantType.m, RemoveDominantOutlier.m, Lear
Pattern-Recognition2
- 清华模式识别第二次作业，采用dataset2.txt 数据作训练样本，采用身高与体重特征进行性别分类，建立最小错误贝叶斯分类器；2、采用身高体重数据作为特征，以 dataset2.txt 作为训练数据，用 Fisher 线性判别方法设计分类器；3、从多层感知器、SVM、近邻法选择一种方法，进行上述的分类实验；-Tsinghua second operation pattern recognition using dataset2.txt data for training samples, us
UCI
- KNN近邻算法程序 绝对可用 -KNN nearest neighbor algorithm program is absolutely free program is absolutely free KNN nearest neighbor
classifier_knn
- 最近邻分类器（KNN）的C＋＋源码，适合模式识别、图像处理开发者用！-nearest neighbor classifier (KNN) of the C++ source code, suitable for pattern recognition, image processing developers use!
knn
- knn k近邻算法，可选择欧式距离或者曼哈顿距离-knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance
KNN
- 基于PCA降维的KNN，最近邻分类matlab实现。-PCA dimensionality reduction based the KNN, the nearest neighbor classification matlab.
SNFAP
- 这是基于吸引子传播算法的改进，采用svd技术，还有半监督思想，有效提高聚类效果-K-nearest neighbor algorithm based on neural networks, and k-means for effective integration and improvement, improved k-means algorithm
SerialKNN
- KNN-是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method for classification and regression, that predicts objects "values"
Kjinlin
- K近邻c语言程序的简单应用 简单应用 -K-nearest neighbor c language program a simple application of a simple application of a simple application of a simple application
knn.m
- knn 只是个函数实现 需要其它函数的引用-k-nearest neighbor u need to import this function to other functions to run it
knn
- k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function
source
- 此代码主要是利用最邻近差值法，双线性插值法，高阶插值法实现图像的旋转以及缩放-This code is the difference between the use of the nearest neighbor method to achieve image rotation bilinear interpolation, higher-order interpolation and scaling
matlab-_scaler
- 分别用最邻近插值算法和双线性插值算法在matlab上实现图像的缩放.word文档。附有算法原理以及实现效果。-Image scaling using the nearest neighbor interpolation algorithm and bilinear interpolation algorithms were implemented on matlab
image-zoom
- 图像缩放是本人参与过的一个项目。本人利用常用的图像缩放算法（如最近邻插值法，双线性插值算法，三次插值算法，B-样条插值等）对图像进行缩放并分析各个算法的优缺点（本文有相应的算法源程序代码）。最后在对算法进行改进。-Image scaling is a project I worked on. I use common image scaling algorithms (such as nearest neighbor interpolation, bilinear interpolation a
Image-processing
- 對Input影像做spatial transformation (nearest-neighbor, bilinear, and bicubic,scaling,shearing,translation,rotation),電腦需安裝opencv library-Input image for doing spatial transformation (nearest-neighbor, bilinear, and bicubic, scaling, shearing, translatio
Pattern-Recognition
- 分别利用fisher判别法和近邻法对一组声呐数据进行模式识别，计算分类的正确率-Respectively, and the use of fisher discriminant method nearest neighbor method sonar data to a set of pattern recognition, to calculate the correct classification rate
pcannc
- 主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类-Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method
SIFT
- SIFT(Scale Invariant Feature Transform)即尺度不变特征变换，是 D. G.Lowe 在 1999 年提出的一种基于图像局部特征的描述算子，并于 2004年做了完善。SIFT算法是一种基于线性尺度空间，对图像缩放、旋转甚至仿射变换保持不变的局部特征描述算子，因此被广泛地应用于机器人定位、导航和地图生成中。-This paper presents a method for extracting distinctive invariant features fro