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SVM

于 2012-06-18 发布 文件大小:15404KB
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代码说明:

  一些使用支持矢量机进行图像分割的算法,以及相关的文献资料,打包下载的好东西哦(Some use support vector machine algorithm for image segmentation, and related literature, package download a good thing)

文件列表:

3_SVM
.....\!!!!!2011Unsupervised Classification of SAR Images Using.pdf,474822,2012-03-22
.....\2007Target recognition in SAR images with SVM.PDF,402070,2012-04-06
.....\2008Multiscale SAR Image Segmentation Using Support Vector Machines.PDF,450575,2012-04-06
.....\2008Object-oriented Classification of Polarimetric SAR imagery based on statuscal region merging and SVM.PDF,1039833,2012-04-06
.....\2008Research on Mixed PCA ICA for sar image feature extraction.PDF,101596,2012-04-06
.....\2009A New Segmentation Method of SAR image based on SVM.PDF,147602,2012-04-06
.....\2009Automatic Target Recognition Based on Rough Set-Support Vector Machine in SAR.PDF,412673,2012-04-06
.....\2009Recognition of SAR Image Based on SVM and New Invariant Moment Feature Extraction.PDF,405430,2012-04-06
.....\2009SAR ATR based on Support Vector Machines and ICA.PDF,3212663,2012-04-06
.....\2009西电A New Segmentation Method of Synthetic Aperture.pdf,154042,2012-03-22
.....\2010Data Classification A Rough SVM Approach.PDF,158855,2012-04-06
.....\2010Smooth contour coding with minimal description length active grid.pdf,2631730,2012-03-22
.....\2010Support Vector Machine Based Classification.PDF,251968,2012-04-06
.....\2011Coastline Detection in SAR Images Using Multi-feature and SVM.PDF,624940,2012-04-06
.....\2011Unsupervised Classification of SAR Images Using.pdf,474822,2012-03-22
.....\svm.ppt,1311232,2012-04-06
.....\svm.zip,281435,2012-04-06
.....\SVM相关.zip,4839616,2012-04-05
.....\TerraSAR-X Image Analysis using PCA, ICA and SVM.PDF,269967,2012-04-06
.....\支持向量机实现代码.txt,39604,2007-08-04
.....\支持向量机的matlab代码.doc,65024,2012-04-06
.....\支撑矢量机的分类机理.pdf,344235,2010-11-25

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    2012-06-21 15:32:59下载
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    说明:  用c语言实现一些简单的图像处理功能,如灰度化、旋转、拷贝等(Some simple image processing functions, such as gray scale, rotation, copy, etc., are implemented in C language.)
    2020-06-17 21:00:06下载
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    进行kcm和fcm聚类分割图象的性能比较(kcm for clustering segmentation and image fcm Performance Comparison)
    2007-05-24 01:46:45下载
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    ch5_1_1: 图像灰度线性变换 (§5 联合开发网 - pudn.com
    2020-07-03 05:20:01下载
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    2020-11-27 09:59:31下载
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  • PG_BOW_DEMO
    图像的特征用到了Dense Sift,通过Bag of Words词袋模型进行描述,当然一般来说是用训练集的来构建词典,因为我们还没有测试集呢。虽然测试集是你拿来测试的,但是实际应用中谁知道测试的图片是啥,所以构建BoW词典我这里也只用训练集。 其实BoW的思想很简单,虽然很多人也问过我,但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了,面试中也经常问到我这个问题,不知道你们都怎么用生动形象的语言来描述这个问题? 用BoW描述完图像之后,指的是将训练集以及测试集的图像都用BoW模型描述了,就可以用SVM训练分类模型进行分类了。 在这里除了用SVM的RBF核,还自己定义了一种核: histogram intersection kernel,直方图正交核。因为很多论文说这个核好,并且实验结果很显然。能从理论上证明一下么?通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。(Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set. In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem? After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified. Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram )
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