If you watched Muthu Muthukrishnan's presentation at the Berkeley Streaming meeting entitled Modern Algorithmic Tools for Analyzing Data Streams you know that Count-Min Sketch can be applied to a variety of situations. We are accustomed to see those in Compressive Sensing as they are connected to some sparse measurement matrices. I am sure something it can also fir within the GraphLab framework. But ....

....here is a new and very interesting one: Particle Sketches, A Way to Estimate a Very Large Number of Bayesian Models in Sub-linear Space and Time.

Now the question is: could this be implemented directly into an 'inexact' chip. ?

Thanks Arthur for the heads-up!

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