- Bob: Code to Accompany "A Study on Sparse Vector Distributions", A Study on Sparse Vector Distributions and Recovery from Compressed Sensing
- Muthu: NSF Workshop on Algorithms In The Field: Request Ideas
- Suresh: POTD: A unified approach to Approximate Proximity searching
- Vladimir: Photodiode Advances Reviewed, 1B Camera Phones to be Sold in 2011, Chipworks: Fujifilm F550EXR BSI Sensor Made by Toshiba
- Randy: Terahertz: solutions looking for the right problems?
- Serguey: L1, robust statistics and compressed sensing, Minimum sum of distance vs L1 and geometric median
- Dan: Image-based rendering and some ancient history
- Rip: Compressed Sensing: the L1 norm finds sparse solutions
- MachineVision4Users: Machine vision for process control, Vision sensor upgraded, Does sensor technology matter?, Stay away from color!
- Wondering Star: The Quake Catcher Network
Found on Twitter yesterday figshare.com
Scientific publishing as it stands is an inefficient way to do science on a global scale. A lot of time and money is being wasted by groups around the world duplicating research that has already been carried out. FigShare allows you to share all of your data, negative results and unpublished figures. In doing this, other researchers will not duplicate the work, but instead may publish with your previously wasted figures, or offer collaboration opportunities and feedback on preprint figures.
Credit: TEPCO, Fukushima Dai-ichi, reactor 2 before and after Tsunami, via Martyn Williams
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