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07/19/2022
Adaptive Learning for the Resource-Constrained Classification Problem
Resource-constrained classification tasks are common in real-world appli...
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01/31/2022
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion
Tensor completion aims at imputing missing entries from a partially obse...
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06/15/2020
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors
The proposed article aims at offering a comprehensive tutorial for the c...
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09/26/2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
The data deluge comes with high demands for data labeling. Crowdsourcing...
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07/09/2019
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems
This paper proposes low-complexity algorithms for finding approximate se...
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01/16/2019
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization
This work considers the problem of computing the canonical polyadic deco...
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01/06/2019
Learning Nonlinear Mixtures: Identifiability and Algorithm
Linear mixture models have proven very useful in a plethora of applicati...
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03/03/2018
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Nonnegative matrix factorization (NMF) has become a workhorse for signal...
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02/19/2018
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling
We present a new algorithm for identifying the transition and emission p...
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11/21/2017
Kullback-Leibler Principal Component for Tensors is not NP-hard
We study the problem of nonnegative rank-one approximation of a nonnegat...
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11/20/2017
On Convergence of Epanechnikov Mean Shift
Epanechnikov Mean Shift is a simple yet empirically very effective algor...
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09/02/2017
On Identifiability of Nonnegative Matrix Factorization
In this letter, we propose a new identification criterion that guarantee...
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11/15/2016
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
In topic modeling, many algorithms that guarantee identifiability of the...
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08/15/2016
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
This paper considers volume minimization (VolMin)-based structured matri...
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07/06/2016
Tensor Decomposition for Signal Processing and Machine Learning
Tensors or multi-way arrays are functions of three or more indices (i,j...
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05/31/2016
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis
Generalized canonical correlation analysis (GCCA) aims at finding latent...
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06/13/2015