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06/07/2023
Stochastic Natural Thresholding Algorithms
Sparse signal recovery is one of the most fundamental problems in variou...
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08/28/2022
Automatic Infectious Disease Classification Analysis with Concept Discovery
Automatic infectious disease classification from images can facilitate n...
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02/28/2022
Semi-supervised Nonnegative Matrix Factorization for Document Classification
We propose new semi-supervised nonnegative matrix factorization (SSNMF) ...
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10/15/2020
Semi-supervised NMF Models for Topic Modeling in Learning Tasks
We propose several new models for semi-supervised nonnegative matrix fac...
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09/07/2020
COVID-19 Literature Topic-Based Search via Hierarchical NMF
A dataset of COVID-19-related scientific literature is compiled, combini...
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09/23/2019
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery
Low-rank tensor recovery problems have been widely studied in many appli...
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08/22/2019
Iterative Hard Thresholding for Low CP-rank Tensor Models
Recovery of low-rank matrices from a small number of linear measurements...
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01/31/2018
Compressed Anomaly Detection with Multiple Mixed Observations
We consider a collection of independent random variables that are identi...
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11/07/2017
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors
While single measurement vector (SMV) models have been widely studied in...
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11/05/2017