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Robust CUR Decomposition: Theory and Imaging Applications

Jan 05, 2021
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell


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Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data

Nov 10, 2020
Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier

* 2020 Information Theory and Applications Workshop (ITA) 
* 9 pages, 8 figures 

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On a Guided Nonnegative Matrix Factorization

Oct 22, 2020
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell

* 6 pages, 6 tables 

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Semi-supervised NMF Models for Topic Modeling in Learning Tasks

Oct 15, 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

* 4 figures, 12 tables 

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Online nonnegative tensor factorization and CP-dictionary learning for Markovian data

Sep 16, 2020
Christopher Strohmeier, Hanbaek Lyu, Deanna Needell

* 25 pages, 5 figures 

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COVID-19 Literature Topic-Based Search via Hierarchical NMF

Sep 07, 2020
Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko


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Feature Selection on Lyme Disease Patient Survey Data

Aug 24, 2020
Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson

* 9 pages, 8 figures, 6 tables 

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Random Vector Functional Link Networks for Function Approximation on Manifolds

Jul 30, 2020
Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich

* 40 pages, 1 figure 

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COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF

Apr 20, 2020
Hanbaek Lyu, Christopher Strohmeier, Georg Menz, Deanna Needell

* 8 pages, 4 figures 

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On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition

Jan 02, 2020
Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang

* 23 pages, 29 figures, submitted to Women in Data Science and Mathematics (WiSDM) Workshop Proceedings, "Advances in Data Science", AWM-Springer series 

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Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization

Dec 04, 2019
Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou

* 14 pages, 1 figure, 2 tables 

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Online matrix factorization for Markovian data and applications to Network Dictionary Learning

Nov 09, 2019
Hanbaek Lyu, Deanna Needell, Laura Balzano

* 32 pages, 12 figures 

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Iterative Hard Thresholding for Low CP-rank Tensor Models

Aug 22, 2019
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin


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Bias of Homotopic Gradient Descent for the Hinge Loss

Jul 26, 2019
Denali Molitor, Deanna Needell, Rachel Ward


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Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing

May 31, 2019
Jesus A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell


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Matrix Completion With Selective Sampling

Apr 17, 2019
Christian Parkinson, Kevin Huynh, Deanna Needell

* 4 pages, 4 figures 

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An iterative method for classification of binary data

Sep 09, 2018
Denali Molitor, Deanna Needell


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Hierarchical Classification using Binary Data

Jul 23, 2018
Denali Molitor, Deanna Needell

* AAAI Magazine special Issue on Deep Models, Machine Learning and Artificial Intelligence Applications in National and International Security, June, 2018 

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Analysis of Fast Structured Dictionary Learning

May 31, 2018
Saiprasad Ravishankar, Anna Ma, Deanna Needell


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Analysis of Fast Alternating Minimization for Structured Dictionary Learning

Feb 01, 2018
Saiprasad Ravishankar, Anna Ma, Deanna Needell


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Matrix Completion for Structured Observations

Jan 29, 2018
Denali Molitor, Deanna Needell


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Simple Classification using Binary Data

Jul 06, 2017
Deanna Needell, Rayan Saab, Tina Woolf


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An Asynchronous Parallel Approach to Sparse Recovery

Jan 12, 2017
Deanna Needell, Tina Woolf

* 5 pages, 2 figures 

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Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

Jan 16, 2015
Deanna Needell, Nathan Srebro, Rachel Ward

* 22 pages, 6 figures 

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Improving Image Clustering using Sparse Text and the Wisdom of the Crowds

May 08, 2014
Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus


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A Comparison of Clustering and Missing Data Methods for Health Sciences

Apr 22, 2014
Ran Zhao, Deanna Needell, Christopher Johansen, Jerry L. Grenard


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Near-optimal compressed sensing guarantees for total variation minimization

Mar 23, 2013
Deanna Needell, Rachel Ward


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Stable image reconstruction using total variation minimization

Mar 12, 2013
Deanna Needell, Rachel Ward

* 25 pages 

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