Image and Signal Analysis Journal Club
Archive: Fall 2022 – Spring 2023
This seminar is organized by Drs. Cao and Lou. If you have questions about this seminar please contact Dr. Yan Cao. The members include both graduate and undergraduate students. Each week one of the students presents a paper in the field of image and signal analysis of his/her interest. The chosen paper will be announced prior to the meeting. The goal of the journal club is to introduce graduate and undergraduate students to image and signal analysis research and create an open venue for friendly but lively scientific discussion.
In fall 2022, the journal club met Tuesdays at 10:00-10:50 am via Teams.
Archive of talks from previous semesters
| Date | Speaker | Title | Paper |
| December 6, 2022 | Saba Fatema | A Lifted L1 Framework for Sparse Recovery | A Lifted L1 Framework for Sparse Recovery, Rahimi, Kang and Lou, arXiv:2203.05125. |
| November 15, 2022 | Jaime Mena Padilla | Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence | Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence, Rieck and Yates et al. NeurIPS 2020, arXiv:2006.07882 |
| November 2, 2022 | Richa Rawat | Accelerating t-SNE using tree-based methods | Accelerating t-SNE using tree-based methods, Laurens van der Maaten, Journal of Machine Learning Research, 15(93):3221−3245, 2014. |
| October 18, 2022 | Soham Sarkar | A Theory for multiresolution signal decomposition: the wavelet representation | A Theory for multiresolution signal decomposition: the wavelet representation, Mallat, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 11, Issue 7, July 1989. |
| October 4, 2022 | Aprajita Singh | Ordinal partition transition network based complexity measures for inferring coupling direction and delay from time series | Ordinal partition transition network based complexity measures for inferring coupling direction and delay from time series, Ruan et al., Chaos 29, 043111 (2019); https://doi.org/10.1063/1.5086527. |
| September 20, 2022 | Russel Hart | Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification | Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification, Stadler et al., 2021. https://arxiv.org/pdf/2110.14012.pdf |
| August 30, 2022 | Organization meeting |