I\'m extremally new to SVM. I need to extract sentences from text and I have found an article that explains how to do it by usin开发者_如何学Gog SVM algorithm.
When training a support vector machine (SVM) for classification with exactly the same data I obtain different results based on the order of the inputs, ie. if I shuffle the data I get different SVMs.
I try to implement a people detecting system based on SVM and HOG using OpenCV2.3. But I got stucked.
I\'m new to machine learning. I\'m doing a project by using opencv open source library. My issue is that I don\'t have experience in开发者_StackOverflow Machine Learning. I have extracted features fro
I am doing remote sensing image classification. I am using the object-oriented method: first I segmented the image to different regions, then I extract t开发者_运维问答he features from regions such as
May I ask whether anyone else have also look into the SGD mapping on BSP model? I\'m investigating whether BSP mo开发者_开发百科del is a good candidate for implementing distributed version of SVM SGD.
I am trying out Liblinear for linear SVM classification on some 2D poi开发者_如何转开发nts (I am using a simple python gui to add points for 2 classes and then draw the line that separates the classes
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
So I want to make sure I have this right. First, I\'m an undergrad computer engineering major with much more hardware/EE experience than software. This summer I have found myself using a clustering al
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