title: SVM for image feature classification?
body: <p>I implemented the <strong>Spatial Pyramid Matching algorithm</strong> designed by
  <strong>Lazebnik</strong> in Matlab and the last step is to do the svm
  classification. And at this point I totally don't understand how I
  should do that in terms of what input I should provide to the <code>svmtrain</code> and
  <code>svmclassify</code> functions to get the pairs of feature point coordinates of
  train and test image in the end. </p>
  
  <p>I have:</p>
  
  <ul>
  <li>coordinates of <code>SIFT</code> feature points on the train image</li>
  <li>coordinates of SIFT feature points on the train image</li>
  <li>intersection kernel matrix for train image</li>
  <li>intersection kernel matrix for test image.</li>
  </ul>
  
  <p>Which of these I should use?</p>