10 citations · 25 across the 10 of their papers we have counts for
11 papers
HOTTBOX: Higher Order Tensor ToolBOX
Ilya Kisil, Giuseppe G. Calvi, Bruno S. Dees +1
HOTTBOX is a Python library for exploratory analysis and visualisation of multi-dimensional arrays of data, also known as tensors. The library includes methods ranging from standar…
Graph Theory for Metro Traffic Modelling
Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides +1
A unifying graph theoretic framework for the modelling of metro transportation networks is proposed. This is achieved by first introducing a basic graph framework for the modelling…
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…
Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations
Jean P. Chereau, Bruno Scalzo Dees, Danilo P. Mandic
Principal component analysis (PCA) is recognised as a quintessential data analysis technique when it comes to describing linear relationships between the features of a dataset. How…
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…
Graph Signal Processing -- Part I: Graphs, Graph Spectra, and Spectral Clustering
Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +3
The area of Data Analytics on graphs promises a paradigm shift as we approach information processing of classes of data, which are typically acquired on irregular but structured do…
Analysing Global Fixed Income Markets with Tensors
Bruno Scalzo Dees
Global fixed income returns span across multiple maturities and economies, that is, they naturally reside on multi-dimensional data structures referred to as tensors. In contrast t…
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…