1.7k citations · 2.3k across the 7 of their papers we have counts for
7 papers
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
Xiao Fu, Kejun Huang, Bo Yang +2
This paper considers \emph{volume minimization} (VolMin)-based structured matrix factorization (SMF). VolMin is a factorization criterion that decomposes a given data matrix into a…
Tensor Decomposition for Signal Processing and Machine Learning
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu +3
Tensors or {\em multi-way arrays} are functions of three or more indices -- similar to matrices (two-way arrays), which are functions of two indices for (r…
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis
Xiao Fu, Kejun Huang, Mingyi Hong +2
Generalized canonical correlation analysis (GCCA) aims at finding latent low-dimensional common structure from multiple views (feature vectors in different domains) of the same ent…
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms
Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
This paper considers phase retrieval from the magnitude of 1D over-sampled Fourier measurements, a classical problem that has challenged researchers in various fields of science an…
Joint Tensor Factorization and Outlying Slab Suppression with Applications
Xiao Fu, Kejun Huang, Wing-Kin Ma +2
We consider factoring low-rank tensors in the presence of outlying slabs. This problem is important in practice, because data collected in many real-world applications, such as spe…
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas
We propose a general algorithmic framework for constrained matrix and tensor factorization, which is widely used in signal processing and machine learning. The new framework is a h…