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04/29/2023
The Ideal Continual Learner: An Agent That Never Forgets
The goal of continual learning is to find a model that solves multiple l...
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01/22/2022
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
Robust subspace recovery (RSR) is a fundamental problem in robust repres...
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06/20/2021
Online Rank-Revealing Block-Term Tensor Decomposition
The so-called block-term decomposition (BTD) tensor model, especially in...
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01/08/2021
A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation
The so-called block-term decomposition (BTD) tensor model, especially in...
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02/22/2020
Block-Term Tensor Decomposition: Model Selection and Computation
The so-called block-term decomposition (BTD) tensor model has been recen...
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03/16/2017
Low-rank and Sparse NMF for Joint Endmembers' Number Estimation and Blind Unmixing of Hyperspectral Images
Estimation of the number of endmembers existing in a scene constitutes a...
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02/11/2016
