I\'m using LIBSVM for regression analysis.Works like a champ.But a 3-parameter grid search to optimize parameters for the model maxes out all four cores on my 2.66 GHz Intel box, and I still have to w
I try to implement a people detecting system based on SVM and HOG using OpenCV2.3. But I got stucked.
I am trying libsvm and I follow the example for training a svm on the heart_scale data which comes with the software. I want to use a chi2 kernel which I precompute myself. The classification rate on
Nominally a good problem to have, but I\'m pretty sure it is because something funny is going on... As context, I\'m working on a problem in the facial expression/recognition space, so getting 100% a
I\'m using one-vs-all to do a 21-class svm categorization. I want the label -1 to mean \"not in this class\" and the label 1 to mean \"indeed in this class\" for each of the 21 kernels.
We are using Java-ML(LibSVM) in order to execute the SVM algorithm over a multi-class problem Classifier clas = new LibSVM();
I\'d like to write a spam filter program with SVM and I choose libsvm as the tool. I got 1000 good mails and 1000 spam mails, then I classify them into:
I have simple xor problem that I want to learn using the RBF kernel in libsvm.When I train the java libsvm using an XOR problem like:
Some questions of using the opencv CvSVM What kind of svm is it using? Is it using svmligh开发者_如何转开发t? OpenCV2.2 has svmlight, but I cannot find much references to it.
What is the proper way to normalize feature vectors for use in a linear-kernel SVM? Looking at LIBSVM, it looks like it\'s done by just rescaling each feature to a single standard upper/lower range.H
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