I am going to unplug for a while and get some fresh air around Grenoble where I'll be thinking about matrix completion, calibration, Donoho-tanner transition diagram and multiplicative noise. In the meantime, here are blogs/papers to reflect on, enjoy!:
- Dick Gordon's blog
- Gigapixel News Journal
- Machine Vision 4 Users
- Quomodocumque
- What's new
- Image Sensors World
- natural language processing blog
- Xi'an's Og
- MAKE Magazine
- Freakonometrics
- The Secrets of Consulting
- Hack a Day
- Statistical Modeling, Causal Inference, and Social Science
- KinectHacks.net
- Decision Science News
- Machine Learning, etc
- Gödel's Lost Letter and P=NP
- The Endeavour
- The Geomblog
- ChapterZero
- Mr. Vacuum Tube
- the polylogblog
- Terahertz Technology
- Epistasis Blog
- Brain Windows
- Harvest Imaging Blog
- An Ergodic Walk
- Collective for Research in Interaction, Sound, and Signal Processing
- CyberGi
- my slice of pizza
- Blog: La vertu d'un la - the virtue of an A, a fortunate hive
- Libres pensées d'un mathématicien ordinaire
- Electron&Holes twitter stream
- Olivier Grisel Twitter stream
- Twitter list of people interested in compressive sensing.
Back in December, I asked What was the most interesting paper on Compressive Sensing you read in 2010 ? Here is a compilation of y'alls answers:
- T. T. Cai, L. Wang and G. Xu, "New bounds for restricted isometry constants," IEEE Trans. Inf. Theory, vol. 59(6), pp. 4388 - 4394, Sept., 2010.
- E.J. Candes and M.B. Wakin, “An Introduction To Compressive Sampling,” IEEE Signal Processing Magazine, vol. 25, Mar. 2008, pp. 21-30.
- M. Mishali, Y.C. Eldar, O. Dounaevsky, E. Shoshan, “Xampling: Analog to Digital at Sub-Nyquist Rates”, CCIT Report #751 Oct-09, EE Pub No. 1708, EE Dept., Technion - Israel Institute of Technology,
- "A probabilistic and RIPless theory of compressed sensing" by Emmanuel Candes and Yaniv Plan
- J. T. O'Brien and W. P. Kamp and G. M. Hoover, Sign-bit amplitude recovery with applications to seismic data, Geophysics, 1982
- Challenging Restricted Isometry Constants with Greedy Pursuit, with Peyre, G., and Fadili, J., Proc. of ITW'09, pp.475-479, 2009. ISBN: 978-1-4244-4982-8.
- Mark Davenport, Jason Laska, Petros Boufounos, and Richard Baraniuk, A simple proof that random matrices are democratic. (Rice University ECE Department Technical Report TREE-0906, November 2009)
- T. Blumensath, M. E. Davies, Iterative hard thresholding for compressed sensing. (Preprint, 2008)
- Boufounos P. T., "Universal Rate-Efficient Scalar Quantization"
- "Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine."
- Real versus complex null space properties for sparse vector recovery
- Davenport, M.A.; Boufounos, P.T.; Wakin, M.B.; Baraniuk, R.G.; , "Signal Processing With Compressive Measurements," Selected Topics in Signal Processing, IEEE Journal of , vol.4, no.2, pp.445-460, April 2010.
One of you readers recently let me know of the February Fourier Talks (http://www.norbertwiener.umd. edu/FFT/FFT11/index.html) being held on February 17 and 18 at the University of Maryland Norbert Wiener Center for Harmonic Analysis and Application (http://www.norbertwiener.umd. edu/).Thank you anonymnous reader.
Recent entries I'll probably be re-reading include:
- The Dip
- Reading the Donoho-Tanner Diagram
- Compressive Sensing Landscape version 0.2
- "...I found this idea of CS sketchy,..."
- Islands of Knowledge
- CS: Just throw away your lenses .. but not before you perform some calibration.
- CS: "..how come your browser can't read JPEG-2000 ?.." , Q&As and some papers
- CS: Teaching Compressed Sensing (Part 1)
- CS: SMALL Workshop posters and Videos of the Talks
- CS: SMALL Workshop slides
- CS: Low Rank Compressive Spectral Imaging and a multishot CASSI
- NIPS videos
- Compressive auto-indexing in femtosecond nanocrystallography
CS: The Long Post of the Week
- Infinity Matters: Generalized Sampling and Infinite Dimensional Compressed Sensing
CS: Calibration for Ultrasound Breast Tomography Using Matrix Completion
And remember these series of random measurements, they rotate in a randomized carousel .....
2 comments:
Wow! How many interesting blogs! (and thanks for the mention :]).
What kind of matrix completion are you using?
Cheers,
Ruben
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