So it's been now 16 months since the Sunday Morning Insight Series saw its first entry. Here is a compendium of what came out during that time period. The first batch is mostly about compressive sensing, sensors, phase transitions and their eventual connection to machine learning. In all cases, it looks as though sharp phase transitions between P and NP are bound to be the acid tests for linear and nonlinear models as used in machine learning and sensing. Central to this view is the fact that generic sensing is now increasingly part of a larger spectrum of ideas on how to capture data from Nature and the world around us. Let us hope that it will produce a pooling of efforts similar to the one we have seen since 2004 in the development of sparsity seeking solvers. The second batch is about new fields that could benefit from the reevaluation afforded by compressive sensing and attendant techniques. Enjoy!
- Sunday Morning Insight: Randomization is not a dirty word +5
- Sunday Morning Insight: Sharp Phase Transitions in Machine Learning ? +1
- Sunday Morning Insight: Exploring Further the Limits of Admissibility +1
- Sunday Morning Insight: The Map Makers +8
- Sunday Morning Insight: Watching P vs NP +2
- Sunday Morning Insight: Faster Than a Blink of an Eye +4
- Sunday Morning Insight: A Quick Panorama of Sensing from Direct Imaging to Machine Learning +10
- Sunday Morning Insight: The 200 Year Gap. +6
- Sunday Morning Insight: Compressive Sensing, What is it good for ? +2
- Sunday Morning Insight: Game of Thrones and the History of Compressive Sensing +8
- Sunday Morning Insight: How to spot a compressive sensing system, the case of Fourier Transform Infra-Red Spectroscopy +7
- Sunday Morning Insight: How to spot a compressive sensing system: the case of the Randomized MALDI TOF MS/MS system +1
- Sunday Morning Insight: Matrix Factorizations and the Grammar of Life +5
- Sunday Morning Insight: Phase Transitions and Eigen-gaps as Roadmaps. +1
- Sunday Morning Insight: Stripe Physics, Wavelets and Compressive Sensing Solvers +2
- Sunday Morning Insight: Ditching L_1 +3
- Sunday Morning Insight: So what is missing in Compressive Imaging and Uncertainty Quantification ? +2
- Sunday Morning Insight: Can L1 help Inpainting ?
- Sunday Morning Insight: Enabling the "Verify" in "Trust but Verify" thanks to Compressive Sensing +3
- Sunday Morning Insight: The Business Side of Sensors
- Sunday Morning Insight: Thinking about a Compressive Genome Sequencer +3
- Sunday Morning Insight: Structured Sparsity and Structural DNA Folding Information
- Sunday Morning Insight: A conversation on Nanopore Sequencing and Signal Processing
- Sunday Morning Insights: A follow-up on nanopore compressive sequencers and Muon tomography for locating salt domes.
- Sunday Morning Insight; Using Muon Tomography to Image Salt Domes ?
- Sunday Morning Insight: Muon Tomography as a Moore's Law Enabled Technology
- Sunday Morning Insight: The extreme paucity of tools for blind deconvolution of biochemical networks
- Sunday Morning Insight: The Linear Boltzmann Equation and Co-Sparsity +5
- Sunday Morning Insight: QTT format and the TT-Toolbox -implementation- +4
- Sunday Morning Insight: Computational Cooking, you won't see food the same way anymore. +4
W00085666.jpg was taken on December 26, 2013 and received on Earth December 27, 2013. The camera was pointing toward SATURN at approximately 1,281,012 miles (2,061,589 kilometers) away, and the image was taken using the MT2 and CL2 filters.
Image Credit: NASA/JPL/Space Science Institute
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