Top "Svm" questions

How to train a Support Vector Machine(svm) classifier with openCV with facial features?

I want to use the svm classifier for facial expression detection. I know opencv has a svm api, but I …

c opencv svm face-detection feature-detection

text classification methods? SVM and decision tree

i have a training set and i want to use a classification method for classifying other documents according to my …

classification svm

Designing a Kernel for a support vector machine (XOR)

The meat of my question is "how does one design a kernel function for a learning problem?" As a quick …

kernel machine-learning svm

Right function for normalizing input of sklearn SVM

I found several questions related to this, but no one solved my doubts. In particular, the two answers to this …

python machine-learning statistics scikit-learn svm

Which decision_function_shape for sklearn.svm.SVC when using OneVsRestClassifier?

I am doing multi-label classification where I am trying to predict correct tags to questions: (X = questions, y = list of …

python scikit-learn svm text-classification multilabel-classification

Training of SVM classifier in OpenCV using SIFT and ORB features

I'm trying to train a SVM classifier to recognize pedestrians in a set of 64x128 images. I've already done that …

visual-c++ opencv svm sift

I have much more than three elements in every class, but I get this error: "class cannot be less than k=3 in scikit-learn"

This is my target (y): target = [7,1,2,2,3,5,4, 1,3,1,4,4,6,6, 7,5,7,8,8,8,5, 3,3,6,2,7,7,1, 10,3,7,10,4,10, 2,2,2,7] I do not know why while I'm executing: ... # Split the data set in two …

runtime-error svm scikit-learn cross-validation

Training of SVM classifier using SIFT features

please i like to classify a set of image in 4 class with SIFT DESCRIPTOR and SVM. Now, using SIFT extractor …

svm sift descriptor

SVM Classification - minimum number of input sets for each class

I'm trying to build an app to detect images which are advertisements from the webpages. Once I detect those I`…

machine-learning classification svm training-data

Predict probabilities using SVM

I wrote this code and wanted to obtain probabilities of classification. from sklearn import svm X = [[0, 0], [10, 10],[20,30],[30,30],[40, 30], [80,60], [80,50]] y = [0, 1, 2, 3, 4, 5, 6] clf = svm.SVC() …

python classification svm libsvm