Mathematics Colloquia and Seminars
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Sparse Image Representations with DeformationsColloquium
|Speaker: ||Professor Stephane Mallat, Chair of Applied Math., Ecole Polytechnique, Paris|
|Location: ||693 Kerr|
|Start time: ||Fri, Jan 21 2000, 4:10PM|
Constructing sparse representations often leads to simple and efficient
algorithms for applications such as compression, estimation, inverse problems
and pattern recognition. This explains the success of new orthogonal bases
such as wavelets, which will be illustrated by examples.
To improve current results, it is necessary to better take into account
physical models and deformations.
Modeling and computing these deformations provides representations
that are more efficient than direct decompositions in optimized bases.
An approach with partial differential equations is presented.