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支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtain a better application in the
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极限学习机\极速学习机\ELM
稀疏表示人脸识别\稀疏表示\L0范数求解
基于ELM与稀疏表示的混合人脸识别算法
AR人脸识别准确率95 .
文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artific
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正规化的逻辑回归，可实现图像的分类识别,如人脸识别，数字识别-Logistic Regression with regularisation, can be used for image classification
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稀疏编码在图像分类中的实现,自己写的matlab程序，带demo-sparsecoding in image classification
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包括彩色图像直方图计算和灰度图像直方图计算，可以作为场景图像分类的一种方法-Including color and grayscale images to calculate an image histogram histogram calculation can be used as a method of image classification scene
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各种对图像的分类和聚类的方法，kmeas、knn、pca等，还有几种数据处理中的窗函数-Variety of image classification and clustering methods, kmeas, knn, pca, etc., there are several data processing window function
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sOME GENERAL ROUTINES FOR IMAGE CLASSIFICATION
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feature extraction gray and binary images for image classification more codes-feature extraction gray and binary images for image classification more codes
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包含数据，可以直接运行。采用LBP特征进行行人和非行人图像的分类，分类方法是LDA。-It contains data that can be run directly. Use LBP features pedestrian and non-pedestrian image classification, classification is LDA.
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基于NN网络的图像训练及分类，程序中包含输入图像矩阵，训练后测试具有100 正确率，可以自己加入不同的训练集，直接运行即可-NN network-based image classification training and procedures contained in the input image matrix test after training with 100 accuracy, can add their own different training set can be ru
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利用cuda加速卷积神经网络，用于人工智能图像分类-
Cuda accelerated use convolution neural networks, artificial intelligence for image classification
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对旧金山海岸的极化SAR数据进行分类。根据图像像素点的散射特性采用Freeman分解对图像进行分类，利用wishart聚类算法聚类。最后得到极化sar数据的分类结果。保证了图像的极化特性和散射特性-Polarimetric SAR data to classify the coast of San Francisco. Freeman decomposition using the image classification, clustering clustering algorithm bas
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利用颜色对图形进行分类。利用了不同的参数以及阀值进行分类处理。中心点初始值采用了随机处理-Using color graphics are classified. Use different parameters and threshold value classification. The initial value of the center point using a random process
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使用改进的LBP算法CLBP实现图像纹理特征的提取，并使用卡方统计方法计算类间距离并实现图像分布。本人已经实验，对15类病毒图像进行分类，不调任何参数的情况下实现67 以上的准确率。-
Using an improved algorithm CLBP LBP texture feature extraction of image, and use the chi-square statistic calculated inter-class distance and achieve imag
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深度神经网络VGG-16模型的keras代码，用于图像识别-keras codes of deep neural network VGG-16 model, used of image classification
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BP神经网络进行图像不同类别的分类，根据不同特征进行训练然后测试-The BP neural network image classification
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神经网络引入后，检测框架变得更快更准确。然而，大多数检测方法受限于少量物体。检测和训练数据上联合训练物体检测器，用有标签的检测图像来学习精确定位，同时用分类图像来增加词汇和鲁棒性。原YOLO系统上生成YOLOv2检测器；在ImageNet中超过9000类的数据和COCO的检测数据上，合并数据集和联合训练YOLO9-After the neural network is introduced, it is becoming faster and more accurate detection fr
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2014 icip A Novel Kernel Collaborative Representation Approach for Image Classification
源码-2014 icip A Novel Kernel Collaborative Representation Approach for Image Classification code
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Recent research has shown the speed advantage of extreme learning machine (ELM) and the accuracy
advantage of sparse representation classification (SRC) in the area of image classification. Those two
methods, however, have their respective drawback
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BP—ANN神经网络matlab源代码，主要用于数据预测，图像分类等，分为3层，输入层，输出和隐含层(BP - ANN neural network matlab source code, mainly used for data prediction, image classification and so on, divided into 3 layers, input layer, output and hidden layer)
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