Neural Networks: Kohonen SOM Presentation

I just wanted to post a presentation I did in my first semester of Graduate school. This presentation was on a Neural Network algorithm called the Kohonen SOM (Self-Organizing Map). Developed by Mr. Kohonen, the Kohonen self-organizing map is an unsupervised, competative learning neural network. This means that the neural network organizes itself from the inputs it receives. The neurons in the network update themself on a winner-take-all basis; however, many Kohonen SOM systems extend this winner-take-all to a winner & neighbors take-all, where the winner gets a full update and the neighbors get a "weighted" update. Instead of me reiterating a lot that is mentioned in the presentation, take a look for yourself.

View the Presentation

This presentation is also highlighted on eceblogger.

Image Processing: Dithering Presentation

Here is another presentation I made a couple years ago for my class in Digital Image Processing. I presented on a very interesting concept called dithering. In this presentation, I discussed several methods of dithering (one of the more interesting methods being "error diffusion"). Check it out.

Dithering Presentation

Hopefully in the near future I will actually post my code for this project, so that people with interest in the topic can play around with the code. My matlab code had support for all the popular, well known, dithering algorithm out there, as well as some more interesting concepts such as image fusion via dithering.

Computer Architectures: Neurocomputing Presentation

Do you have an interest in neurocomputing architectures, or want to get some basics on neural networks? Check out the presentation I had done in Fall Semester 2008, where I presented on a couple papers that focus on neurocomputing architectures using FPGAs.

Neurocomputing Architechures