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i.e. X can be written as a sum of three outer products of the respective component vectors, which constitute rank-1 matrices. Let A := [a1, a2, a3] and B := [b1, b2, b3], and X can be expressed as X… (More)

The problem of transmit beamforming to multiple co-channel multicast groups is considered, from the viewpoint of guaranteing a prescribed minimum signal-to-interference-plus-noise-ratio (SINR) at… (More)

Let X be a real-valued three-way array. The Candecomp/Parafac (CP) decomposition is written as X = Y(1) + · · · + Y(R) + E, where Y(r) are rank-1 arrays and E is a rest term. Each rank-1 array is… (More)

n this article, an overview of advanced convex optimization approaches to multisensor beamforming is presented, and connections are drawn between different types of optimization-based beamformers… (More)

- Athanasios P. Liavas, Georgios Kostoulas, Georgios Lourakis, Kejun Huang, Nicholas D. Sidiropoulos
- IEEE Transactions on Signal Processing
- 2018

We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation. We adopt the alternating optimization… (More)

- Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
- IEEE transactions on pattern analysis and machine…
- 2018

In topic modeling, identifiability of the topics is an essential issue. Many topic modeling approaches have been developed under the premise that each topic has an anchor word, which may be fragile… (More)

- Ahmed S. Zamzam, Nicholas D. Sidiropoulos, Emiliano Dall’Anese
- IEEE Transactions on Smart Grid
- 2018

This paper focuses on the AC Optimal Power Flow (OPF) problem for multi-phase systems. Particular emphasis is given to systems with high integration of renewables, where adjustments of the real and… (More)

This article combines a tutorial on state-of-art tensor decomposition as it relates to big data analytics, with original research on parallel and distributed computation of low-rank decomposition for… (More)

- Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu
- IEEE Transactions on Signal Processing
- 2018

Estimating the joint probability mass function (PMF) of a set of random variables lies at the heart of statistical learning and signal processing. Without structural assumptions, such as modeling the… (More)

- Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, W K Ma
- IEEE Transactions on Signal Processing
- 2018

Hyperspectral super-resolution refers to the problem of fusing a hyperspectral image (HSI) and a multispectral image (MSI) to produce a super-resolution image (SRI) that admits fine spatial and… (More)