The LOS seminar is the working seminar of the LOS research center.
The LOS seminar is the working seminar of the LOS research center.
All seminars, except where otherwise indicated, will be Tuesdays between 14:00 and 15.50. The seminars are held locally at Hall 214 (“Google”) of the Faculty of Mathematics and Computer Science, University of Bucharest, but can also be occasionally held remotely.
To receive announcements about the seminar, please send an email to los@fmi.unibuc.ro.
Andrei Pătrașcu (LOS)
Learning Explicitly Conditioned Sparsifying Transforms
Abstract: Sparsifying transforms became in the last decades widely known tools for finding structured
sparse representations of signals in certain transform domains.
Despite the popularity of classical transforms such as DCT and Wavelet, learning optimal transforms
that guarantee good representations of data into the sparse domain has been recently analyzed in a series of papers.
Typically, the conditioning number and representation ability are complementary
key features of learning square transforms that may not be explicitly controlled in
a given optimization model. Unlike the existing approaches from the literature,
we consider a new sparsifying transform model that enforces explicit control over the data representation
quality and the condition number of the learned transforms. The numerical experiments show that
our model presents better numerical behavior than the state-of-the-art.