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UID:5548@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20140124T140000
DTEND;TZID=Europe/Paris:20140124T150000
DTSTAMP:20241030T102707Z
URL:https://www.i2m.univ-amu.fr/evenements/v-emiya-lif-compressed-sensing-
 with-unknown-sensor-permutation/
SUMMARY: (...): V. Emiya (LIF): Compressed sensing with unknown sensor perm
 utation
DESCRIPTION:: Compressed sensing with unknown sensor permutation\nBy Valent
 in Emiya\\\, LIF.\n\nCompressed sensing is the ability to retrieve a spars
 e vector from a set of linear measurements. The task gets more difficult w
 hen the sensing process is not perfectly known. We address such a problem 
 in the case where the sensors have been permuted\\\, i.e.\\\, the order of
  the measurements is unknown. We propose a branch-and-bound algorithm that
  converges to the solution. The experimental study shows that our approach
  always retrieves the unknown permutation\\\, while a simple convex relaxa
 tion strategy almost always fails. In terms of its time complexity\\\, we 
 show that the proposed algorithm converges quickly with respect to the com
 binatorial nature of the problem.
CATEGORIES:Séminaire,Signal et Apprentissage
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DTSTART:20131027T020000
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