Source Code¶On my GitHub This code is wrapped in a class which makes it harder to post to a Notebook (a few too many lines for a post). Segmenting Fundus Images with kNN¶After preprocessing the images as described in a previous post, I tried to extract learnable features by applying the k-nearest neighbors algorithm. In… Read More »
Here is a link to the winning solution for this competition. Interestingly enough, this wonderful team found that pixel intensity was a feature that worked really well in malware. This is probably why I did not completely bomb out: my “golden feature” was a 1D LBP pattern extracted from the binary images. It is quite… Read More »
Now that I have learned how to convert IPython notebooks to WordPress-able html, here is an old post revisited. Extracting a 1D Local Binary Pattern Histogram on NVIDIA GPU with CUDA and Numbapro¶ This was done for the Microsoft Malware competition on Kaggle. In this contest, a bunch of malware files needed to be classified… Read More »