## Nobody Cares about You and Your Paper

In calling for release of algorithmic implementation, the host of the star blog Nuit Blanche (dedicated to compressive sensing) has put up a post with the title “Nobody cares about you and your algorithm”.  Interesting, this kind of parallels my recent thought on authors’ role in advertising their research papers that potentially make scientific progress, which is actually lesser than release of implementation .

I would often browse through all the titles in recent conferences of interest, like CVPR, ICCV, ECCV, ICML, NIPS, and etc. For CV papers, there’s a nice website cvpapers.com archiving all recent  major CV conferences and providing links to the electronic version of the papers and appended materials if available (there are more and more such social-professional websites available, e.g., sciweavers.org that holds papers of a wider range of fields besides CV ). This is a pretty great way that helps save me a lot of time to collect such papers and their access, as otherwise I’d have to go to IEEE Explorer and download the papers one by one, or crap them from the CD proceedings which are normally not at my disposal.  Going to individual researchers’ website and checking their updates in publication is only by rare chance.

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## Quick Updates

First of all, I’m doing fine at MSRA, Beijing. I’ve started to look at theoretic side of compressive sensing, matrix completion, and dictionary learning, facing a rather steep learning curve with math of probability and matrix analysis… John is a born researcher and teacher! We’re holding daily meeting and discussing a lot.

My ICDM 2010 submission was rejected days ago, with one reviewer saying that (kind of) “the paper has nothing to do with data mining”. Gosh! That’s perhaps the worst news for people doing data clustering. I have listed the paper manuscript and a partially revised version under my preprint section and also sent the manuscript to the arXiv server. Recently I shall write an expository blog article and explain the technical content inside the paper.

Before that, let’s test the great tool written by “in theory” (well, not his true name) LaTeX2WP, which has received the honorable mention in Terry Tao’s blog and seems to have helped Terry a lot. I’m planning to use this a lot for forthcoming blog articles, and let’s test about the most famous equation by Einstein (in fact, this whole piece of words today are converted by LaTex2WP):

$\displaystyle E = MC^2. \ \ \ \ \ (1)$

Last but not the least, it’s soon the Mid-Autumn Day, a great day for Chinese people to gather and reunify. Looking forward to the planned party of my high-school classmates on 23rd Sep!