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神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
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耦合神经网络用于图像分类的资料，很不错，推荐给大家-Coupled neural network for image classification data, very good, recommend it to everyone
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K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
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一篇图像分类文章Image classification based on feature selection and SVMs-Image classification based on feature selection and SVMs
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基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
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基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。
-SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
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MATLAB CODE FOR IMAGE CLASSIFICATION USING RBF NETWORK
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图像的监督分类，并给出了数字识别等具体实例-Supervision of the image classification, and gives specific examples such as digital identification
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本文实现了09年CVPR的文章Linear Spatial Pyramid Matching using Sparse Coding for Image Classification-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper
"Linear Spatial Pyramid Matching using Sparse Coding for
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基于SVM与BoW的图片分类的OpenCV实现，从外国网站下载的-SVM-based image classification with BoW OpenCV implementation from foreign website
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图像分类程序，此图像分类采用 SIFT + Kmeans 聚类的方法，然后调用 MLP 对其特征进行分类处理，速度实现比较快，正确率高-Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve th
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壁画图像分类中的分组多实例学习方法.好图像处理的论文-Packet mural image classification based on multiple instance learning method. Good image processing paper
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practical image classification
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基于商空间粒度计算的SAR图像分类方法研究-SAR Image Classification Based on Granularity Computing of
Quotient Space Theory
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本文介绍了基于libsvm的图像分类技术，分别提取图像的gist和phog特征-This article describes the gist and phog feature-based image classification techniques libsvm were extracted image
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Hyperspectral image classification with limited
number of labeled pixels is a challenging task. In this paper, we
propose a bilayer graph-based learning framework to address
this problem. For graph-based classification, how to establish
the n
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Image classification by a Two Dimensional Hidden Markov Model
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Image classification by using vector quantization algorithm
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使用matlab实现一幅图像中图像块的分类，主要分为光滑图像块和非光滑图像块。-Use matlab achieve an image classification image block is divided into tiles smooth and non-smooth image blocks.
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针对视觉字典的最佳表示方式、图像分类任务中亟需计算效率高、存储代价小、分类准确度高的算法等难题，提出了几种创新的算法。-Aiming at the problem of the best representation of visual dictionary and the need of high efficiency, low memory cost and high classification accuracy in image classification task, several
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