Igor Carron's blog covers compressive sensing, matrix factorization, and machine learning research.
Commenters recommend it as a worthwhile read, noting the author reviews a huge amount of research weekly and keeps a large repository of resources.
Ali,
I have some experience in the process of doing the filtering you are mentioning as I write a blog on compressed sensing (http://nuit-blanche.blogspot.com/), a field that spans a wide range of communities that are, often, not talking to each other nor have the same culture.
I don't think Mendeley or any RSS feed services help much as they both target the same dead tree people who are generally about two years behind on the good stuff. Arxiv is good but not all the communities use arxiv either and so it really is a mix of different tools that yield the most results.
I have a high interest in expanding and automating my current processes and would be very much willing to talk to somebody who would want to spend some time on this.
I also agree with one of the posters, how much do you think people would be willing to pay for this service ?
Let me make a simple observation here:
In the Paper of Catherine McGeoch and her co-author Cong Wang, they write:
"...As a case in point, our second project compares the V5 hardware chip used in our first study to a V6 chip that became operational after the study was completed. V6 is three to five times faster than V5, and can solve problems as large as n = 502...."
In other words, during the time it took to set up the algorithm and perform the study, Moore's law had been able to enable a classical approach to go five times faster. I am a big supporter of anything that does quantum computing but one should never lose sight of Moore's law.
http://nuit-blanche.blogspot.com/2013/05/randomized-thoughts-and-around-blogs-in.html
scour through http://reddit.com/r/machinelearning
tbh it's not 'beginner' in any sense, but the real interesting blog to me is http://nuit-blanche.blogspot.com - it's definitely worth going through, it may even be better for getting familiar with the more basic stuff to try also to leaf through the advanced stuff, rather than to just look through the beginner stuff alone
fyi the founder Igor Carron runs a pretty nice academic blog
on compressive sensing (a bit less academic in recent months)
https://nuit-blanche.blogspot.com/
Also hosts the advanced matrix factorization jungle website
which is a nice browse if you're interested in mf techniques.
https://sites.google.com/site/igorcarron2/matrixfactorizations
http://nuit-blanche.blogspot.com
Specialized in compressive sensing, matrix factorization and machine learning.
Don't let the blue color put you of, the author reads and reviews an unbelievable amount of research every week and maintains a huge repository of papers, implementations, talks and video's.
Hamming ?
"Richard Hamming’s three questions for new hires at Bell Labs:
1- What are you working on?
2- What’s the most important open problem in your area?
3- Why aren’t they the same? "
http://www.chris-lott.org/misc/kaiser.html
Igor.
http://nuit-blanche.blogspot.com