Machine Learning

So in last week’s blog post we discovered how to construct an image pyramid. And in today’s article, we are going to extend that example and introduce the concept of a sliding window. Sliding windows play an integral role in…

It’s too damn cold up in Connecticut — so cold that I had to throw in the towel and escape for a bit. Last week I took a weekend trip down to Orlando, FL just to escape. And while the…

I have issues — I can’t stop thinking about object detection. You see, last night I was watching The Walking Dead and instead of enjoying the zombie brutality, the forced cannibalism, or the enthralling storyline, all I wanted to do…

Connecticut is cold. Very cold. Sometimes it’s hard to even get out of bed in the morning. And honestly, without the aide of copious amounts of pumpkin spice lattes and the beautiful sunrise over the crisp autumn leaves, I don’t…

If you’ve been paying attention to my Twitter account lately, you’ve probably noticed one or two teasers of what I’ve been working on — a Python framework/package to rapidly construct object detectors using Histogram of Oriented Gradients and Linear Support…

In my last post, I mentioned that tiny, one pixel shifts in images can kill the performance your Restricted Boltzmann Machine + Classifier pipeline when utilizing raw pixels as feature vectors. Today I am going to continue that discussion. And…

Can you tell the difference between the two images above? Probably not. The one on the right has been shifted one pixel down. And while it still looks like the same image to us, to a Restricted Boltzmann Machine, this…

Disclaimer: This post is a bit cynical in tone. In all honesty, I support deep learning research, I support the findings, and I believe that by researching deep learning we can only further improve our classification approaches and develop better…