搜索资源列表
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杨淑莹:图像模式识别,分类程序，神经网络，编译可用。-Yang Shuying: image pattern recognition, classification procedures, neural networks, compiler available.
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基于BP神经网络的高分辨率遥感影像分类处理 文档-High-resolution remote sensing image classification based on BP neural network
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利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积-The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classif
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本程序为蚁群算法在图像分类中的应用的源程序。（图像的大小为30*30）-This procedure for the ant colony algorithm in the Image Classification of the source. (Image size is 30* 30)
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王兴刚和白翔合作发表的CVPR2011的文章， Feature Context for Object Detection and Image Classification，可以用于物体检测和图像的分类，用到了特征上下文，Feature Context-PROCEEDINGS and white Xiang cooperation the published CVPR2011 article Feature Context for Object Detection and Image Classi
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猫群算法在图像分类中的应用。猫群算法是一种比较新的算法，目前研究和使用的并不多。-The cats swarm optimization in image classification. Cat swarm optimization is a relatively new algorithm, not much research and use.
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关于决策树C4.5算法的几篇学术论文（基于C4.5算法的遥感影像分类）-Several papers (C4.5 decision tree algorithm C4.5 algorithm based on image classification)
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基于多秩回归的高效图像分类算法，用于人脸识别等领域-Efficient Image Classification via Multiple Rank Regression
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svm的各种经典的程序，用于对数据、图像进行分类，回归。其中，既包含分两类的程序，也包括分多类的程序，以及svm改进算法的程序。-svm various classic procedures for data, image classification, regression. Which contains both the two types of procedures, including many types of procedures and svm algorithm procedur
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主动学习用于遥感图像的最新论文，对应学习主动学习在遥感图像分类有很好的借鉴意义。-Active learning for remote sensing images of the latest papers, correspondence learning active learning in remote sensing image classification have a good reference
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使用极限学习机ELM算法进行遥感图像分类的源代码，很好的例子-Use extreme learning machine ELM remote sensing image classification algorithm source code, a good example
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聚类算法 K-means 数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则 该代码针对图像的分类-Some distance K-means clustering algorithm to the data points as a prototype optimization objective function, using the function for extreme methods to adjust the rules to get the cod
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HINTON的学生alex写的有关深度学习的图像分类上在cuda上的实现-Image classification HINTON alex students wrote about the depth of learning implemented on cuda' s
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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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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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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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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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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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