1.4k citations · 3.2k across the 73 of their papers we have counts for
8 papers · 2 filters
Graph Theory and Metro Traffic Modelling
Bruno Scalzo Dees, Anthony G. Constantinides, Danilo P. Mandic
In this article we demonstrate how graph theory can be used to identify those stations in the London underground network which have the greatest influence on the functionality of t…
A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables
Bruno Scalzo Dees, Anh-Huy Phan, Danilo P. Mandic
Real-world signals typically span across multiple dimensions, that is, they naturally reside on multi-way data structures referred to as tensors. In contrast to standard ``flat-vie…
Portfolio Cuts: A Graph-Theoretic Framework to Diversification
Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides +1
Investment returns naturally reside on irregular domains, however, standard multivariate portfolio optimization methods are agnostic to data structure. To this end, we investigate…
Unitary Shift Operators on a Graph
Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic +2
A unitary shift operator (GSO) for signals on a graph is introduced, which exhibits the desired property of energy preservation over both backward and forward graph shifts. For rig…
Tight Lower Bound on the Tensor Rank based on the Maximally Square Unfolding
Giuseppe G. Calvi, Bruno Scalzo Dees, Danilo P. Mandic
Tensors decompositions are a class of tools for analysing datasets of high dimensionality and variety in a natural manner, with the Canonical Polyadic Decomposition (CPD) being a m…
A Class of Doubly Stochastic Shift Operators for Random Graph Signals and their Boundedness
Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic +2
A class of doubly stochastic graph shift operators (GSO) is proposed, which is shown to exhibit: (i) lower and upper -boundedness for locally stationary random graph signals…
Vertex-Frequency Graph Signal Processing: A review
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic +4
Graph signal processing deals with signals which are observed on an irregular graph domain. While many approaches have been developed in classical graph theory to cluster vertices…
An Example-Driven Introduction to Data Analytics on Graphs
Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +3
Graphs are irregular structures which naturally account for data integrity, however, traditional approaches have been established outside Signal Processing, and largely focus on an…