| Title | Short and Squeezed: Accelerating the Computation of Antisparse Representations with Safe Squeezing |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Elvira, Clément, Herzet, Cédric |
| Conference Name | ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Date Published | May 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-5090-6631-5 |
| Keywords | Acceleration, antisparse coding, Collaboration, convex optimization, Geometry, Human Behavior, human factors, Metrics, numerical simulation, Optimization, policy-based governance, pubcrawl, resilience, Resiliency, Safe Coding, safe squeezing, scaled projected gradient, Signal processing, speech processing, Transforms |
| Abstract | Antisparse coding aims at spreading the information uniformly over representation coefficients and can be expressed as the solution of an ℓ∞-norm regularized problem. In this paper, we propose a new methodology, coined "safe squeezing", accelerating the computation of antisparse representations. The idea consists in identifying saturated entries of the solution via simple tests and compacting their contribution to achieve some form of dimensionality reduction. Numerical experiments show that the proposed approach leads to significant computational gain. |
| URL | https://ieeexplore.ieee.org/document/9053156 |
| DOI | 10.1109/ICASSP40776.2020.9053156 |
| Citation Key | elvira_short_2020 |
Short and Squeezed: Accelerating the Computation of Antisparse Representations with Safe Squeezing