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diff --git a/paper/sections/discussion.tex b/paper/sections/discussion.tex index 10aa50b..52eb6c5 100644 --- a/paper/sections/discussion.tex +++ b/paper/sections/discussion.tex @@ -15,7 +15,7 @@ This model therefore falls into the 1-bit compressed sensing framework \cite{Boufounos:2008}. Several recent papers study the theoretical guarantees obtained for 1-bit compressed sensing with specific measurements \cite{Gupta:2010, Plan:2014}. Whilst they obtained bounds of the order -${\cal O}(n \log \frac{n}{s}$), no current theory exists for recovering +${\cal O}(n \log \frac{m}{s}$), no current theory exists for recovering positive bounded signals from biniary measurememts. This research direction may provide the first clues to solve the ``adaptive learning'' problem: if we are allowed to adaptively \emph{choose} the source nodes at the beginning of |
