activity
20192025
most citedAn Intuitive Derivation of the Coherence Index Relation in Compressive Sensing

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Understanding the Rank of Tensor Networks via an Intuitive Example-Driven Approach

Wuyang Zhou, Giorgos Iacovides, Kriton Konstantinidis +2

Tensor Network (TN) decompositions have emerged as an indispensable tool in Big Data analytics owing to their ability to provide compact low-rank representations, thus alleviating…

cs.MS2021

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…

math.NA2021★ 1 cited

Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks

Ilya Kisil, Giuseppe G. Calvi, Kriton Konstantinidis +2

There is a significant expansion in both volume and range of applications along with the concomitant increase in the variety of data sources. These ever-expanding trends have highl…

cs.IT2019★ 2 cited

An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing

Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +1

The existence and uniqueness conditions are a prerequisite for reliable reconstruction of sparse signals from reduced sets of measurements within the Compressive Sensing (CS) parad…

eess.SP2019★ 2 cited

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…