Original: http://blog.csdn.net/arthur503/article/details/19974057Learning the experimental link in SVM, the teacher introduced the use of LIBSVM. It was easy to say something after reading it.1. LIBSVM IntroductionAlthough the principle requires very high mathematics knowledge and so on, but in the LIBSVM, is completely a tool bag, can use. At that time asked sev
By analyzing the COMPUTE function in Cvhop.cpp, we can call it directly to get the sample hog, and then train to get the detection operator.1. Make a sample2. Call for each pictureHog.compute (IMG, descriptors,size (8,8), Size (0,0));You can generate hog descriptors and save it to a filefor (int j=0;jfprintf (F, "%f,", Descriptors[j]);3. Using SVM for training and classification, you can get the weight factor, which is called in the Getdefaultpeopledetector () function.Detection operator detecto
In fact, this part of the write is superfluous, Google a little "LIBSVM use", will be n more resources, but, in order to let you less cost dim sum, here on a simple introduction, there is not clear only to move your mouse. It should be explained that, before the 2.89 version, are Svmscale, Svmtrain and Svmpredict, the latest is Svm-scale, Svm-train and svm-predict, if not used to, Only need to remove the four EXE file name in the middle of the short h
In fact, before the Shanghai Jiaotong University model Analysis and Machine Intelligence Lab to the 2.6 version of the svm.cpp made a partial annotation, (where?). Google, you know). However, this annotation is only for the code and comments, the whole article look down, you will find that in addition to understanding the meaning of a few parameters, or will be LIBSVM confused. Of course, as an auxiliary material to understand the procedure, it is of
LIBSVM use Experience (for new edition usage modification)
(New Libsvm,svm-train, the old version is Svmtrain Windows users, gnuplot need to install, not decompression, EXE file name Gnuplot.exe, the old version after the decompression for the Pgnuplot.exe)
(
PS: This article for the reprint modification, may some places have not been revised according to the new edition, only for reference)
First downlo
see that the current directory generates binary file LIBSVMREAD.MEXW32/LIBSVMWRITE.MEXW32/SVMPREDICT.MEXW32/SVMTRAIN.MEXW32. Add the current directory to the MATLAB path.
5 Example a test
Note that there is a data file under Libsvm-3.16, named Heart_scale. This is a LIBSVM format data file. You can use the Libsvmread function to convert it to MATLAB format.
You can use the following code to test:
[Heart_sc
The main point is to explain the use of the Libsvm-mat Toolbox to establish a classification (regression model), the model parameters obtained in the meaning are god horse? And if the model is given an expression, the classification problem is the main example.The test data uses Libsvm-mat's own Heart_scale.mat data (an attribute matrix of 270*13, a total of 270 samples, each with 13 attributes), to facilit
1.LIBSVM and Liblinear differences, simple source analysis.
http://blog.csdn.net/zhzhl202/article/details/7438160
http://blog.csdn.net/zhzhl202/article/details/7438313LIBSVM is a software that integrates support vector machines (c-svc, nu-svc), regression, and distribution estimation (One-class SVM). and support multiple categories of classification.
Liblinear, a linear classifier mainly implemented for millions data and features.
Both of them are use
set and test set are transpose to conform to the LIBSVM Toolbox data format requirements
train = Train ';
Test = Test ';
2, training data and test data for the whole normalization to [0,1] code (obtain classification accuracy 61%):
[Mtrain,ntrain]=size (train);
[Mtest,ntest]=size (test);
Dataset=[train;test];
[Dataset_scale,ps]=mapminmax (DataSet ', 0,1);
Datas
first improvement: SVM has been in contact for a long time and has been studied and used in both theory and code. Due to the large amount of online data, I am too lazy to sort it out, baidu and Google solve each problem. However, if someone asks me the specific content, it is difficult for me to answer the question. After all, others' things are others, it doesn't mean you have mastered it. Only the knowledge you have mastered is your own. You can communicate with others and put forward your ow
In a recent image recognition project, we need to rate the classification results. Because libsvm3.12 is used, we decided to directly return the dec_values of the svm_predict_values function as the score at the beginning, after studying it, I thought it was quite interesting.
First, we will introduce the multiclass classification method in SVM. Currently, one-against-all and one-against-one are popular SVM multiclass classification strategies. libsvm
1. I installed Python-2.5.1 In the c: \ python25 path of drive C.2.my gnuplotis in libsvm-2_6.rar, an attachment on the Research Forum. I will upload it later. after decompression, you can see that in the folder gp373w32, other files and folders are not required, as long as the folder gp373w32. I copied the folder directly to drive D: \ gp373w32. lin zhiren's libsvm-2.82 is in my other post (not at the begi
Original: http://blog.csdn.net/u014691453/article/details/40393137Software version:Visual Studio version: VS2012(Note: The use of the method on the VS2010 above is also available, but the problem may arise is: VS2010 and VS2012 Some of the functions are different, you need to make changes before compiling, such as VS2010 scanf comparison VS2012 of scanf_s)LIBSVM version: libsvm-3.18Statement:If you find the
1. Required Software Download:(1) LIBSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm/)(2) Python(3) Gnuplot drawing software (ftp://ftp.gnuplot.info/pub/gnuplot/)Only the Windows environment is considered here:1, download LIBSVM Zip package, just unzip to a folder just fine (casually D:\GJS\LIBSVM)2. Install Python (mine
Label: matlab svm Machine Learning
1. First, we need to download a libsvm toolbox, which can be downloaded everywhere.
2. decompress the compressed package. I decompress the package to c: \ Users \ Administrator \ Desktop \ libsvm on the desktop.
3. Open MATLAB and locate it under the following directory: 4. Enter the following code according to the process:
> Mex-SetupWelcome to Mex-setup. This u
Sometimes we need to use the SVR (support vector regression) method, and Matlab's own SVM toolbox can not do regression analysis, so there is the intention to install the LIBSVM package.There are some difficulties in the middle, such as unable to find the compiler and so on, after an afternoon and a night of effort, in MATLAB can use LIBSVM.1. Download Good LIBSVM
Original: Lin hongde
Ding color: http://www.docin.com/p-10558528.html #
Why write this guide?
I have always thought that SVM is a very interesting thing, but I have never been able to listen to the data mining and SVM courses of Lin zhiren's old brother. Later I came to see some files on the Internet, later, after I heard about the usage of libsvm from kcwu, I want to sort it out. This is an entry for people who do not need to know the complete
LIBSVM parameter selection [predictive label, accuracy rate, decision value]=svmpredict (test label, test data, training model);Original reference: http://blog.csdn.net/carson2005/article/details/6539192A summary of the selection of SVM parameters Cg [matlab-libsvm]:http://www.ilovematlab.cn/thread-47819-1-1.html The original text see belowIt is to be recalled that LIBS
Given the importance of the script, it is necessary to make a comprehensive comment on the script so that the LIBSVM can be used flexibly. #!/usr/bin/env python#This method of setting the Python path is more scientificImportSYSImportOS fromSubprocessImport*#too few input parameters will prompt program usageifLen (SYS.ARGV) : Print('Usage: {0} training_file [Testing_file]'. Format (sys.argv[0]))RaiseSystemexit#SVM, grid, and gnuplot executable files
) almost all samples in each collection are used to train the model. Therefore, it is closest to the parent sample distribution and the estimated generalization error is reliable. Therefore, LOOCV can be used when there are few samples in the experiment dataset.2) No random factors in the experiment will affect the experiment data and ensure that the experiment process can be copied.However, the disadvantage of LOOCV is that the computing cost is high
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