Computer vision papers

Here are two computer vision papers you might find interesting:

• S Gould, T Gao, and D Kollar. Region-based Segmentation and Object Detection. NIPS 2009.
• C Gu, J Lim, P Arbelaez, and J Malik. Recognition using regions. CVPR 2009.

We are looking at these two papers in our computer vision reading seminar this week.

Learning compressed sensing

If you are interested in compressive sensing and machine learning, this is a very interesting paper that my advisor emailed me. It paints a good picture of how PCA and random projections can be thought to relate to each other. Here's the link.

Hot new machine!

I just got a new workstation today - an Intel Xeon machine, with 12Gb of RAM! Well, I didn't get the monitor yet since, for some reason, Dell decided not to ship everything together, but I had an extra monitor lying around that I can use temporarily. Now I can play around with that 1Gb size training matrix for one of my research projects. I just got Ubuntu 9.10 on it in the evening, after my midterm that didn't go so well, and a two hour long seminar class. I think I might need some desk rearrangement once the ordered monitor arrives.

"Write Blog"

I have to apologize for not being regular. It has been really long since the last time I wrote; things have been pretty busy, with research projects, full load of classes, grading, and all the usuals of being a graduate student. I have been able to attend a number of great machine learning talks as well, which I was planning to write something about, but just never got around to doing that.

I think I really need to put 'write blog' in my calendar.