Rachel Grotheer

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

Greedy Algorithm

Signal Recovery

Document Classification

Top Venues

Publications

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. ACSSC (2023)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. CoRR (2023)
Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell
Automatic Infectious Disease Classification Analysis with Concept Discovery. CoRR (2022)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised Nonnegative Matrix Factorization for Document Classification. CoRR (2022)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised Nonnegative Matrix Factorization for Document Classification. ACSCC (2021)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA (2020)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised NMF Models for Topic Modeling in Learning Tasks. CoRR (2020)
Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko
COVID-19 Literature Topic-Based Search via Hierarchical NMF. CoRR (2020)
Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell
COVID-19 Literature Topic-Based Search via Hierarchical NMF. NLP4COVID@EMNLP (2020)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. EMBC (2019)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Iterative Hard Thresholding for Low CP-rank Tensor Models. CoRR (2019)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. CoRR (2019)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Jointly Sparse Signal Recovery with Prior Info. ACSSC (2019)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Compressed Anomaly Detection with Multiple Mixed Observations. CoRR (2018)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. CoRR (2017)
Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin
Stochastic Greedy Algorithms For Multiple Measurement Vectors. CoRR (2017)