[HTML][HTML] Discrete optimization methods for group model selection in compressed sensing
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
Discrete Optimization Methods for Group Model Selection in Compressed Sensing
B Bah, J Kurtz, O Schaudt - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
[PDF][PDF] Discrete optimization methods for group model selection in compressed sensing
B Bah, J Kurtz, O Schaudt - 2020 - publications.rwth-aachen.de
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
[PDF][PDF] Discrete Optimization Methods for Group Model Selection in Compressed Sensing
B Bah, J Kurtz, O Schaudt - researchgate.net
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
Discrete optimization methods for group model selection in compressed sensing
B Bah, J Kurtz, O Schaudt - Mathematical Programming, 2021 - dl.acm.org
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
[PDF][PDF] Discrete Optimization Methods for Group Model Selection in Compressed Sensing
B Bah, J Kurtz, O Schaudt - optimization-online.org
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
[PDF][PDF] Discrete optimization methods for group model selection in compressed sensing
B Bah, J Kurtz, O Schaudt - 2020 - scholar.archive.org
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
Discrete Optimization Methods for Group Model Selection in Compressed Sensing
B Bah, J Kurtz, O Schaudt - arXiv preprint arXiv:1904.01542, 2019 - arxiv.org
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
Discrete optimization methods for group model selection in compressed sensing.
B Bah, J Kurtz, O Schaudt - Mathematical Programming, 2021 - search.ebscohost.com
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …
[PDF][PDF] Discrete optimization methods for group model selection in compressed sensing
B Bah, J Kurtz, O Schaudt - 2020 - publications.rwth-aachen.de
In this article we study the problem of signal recovery for group models. More precisely for a
given set of groups, each containing a small subset of indices, and for given linear sketches …
given set of groups, each containing a small subset of indices, and for given linear sketches …