Articles with "approach graph" as a keyword



A big data modeling approach with graph databases for SPAD risk

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Published in 2018 at "Safety Science"

DOI: 10.1016/j.ssci.2017.11.019

Abstract: Abstract This paper proposes a model to assess train passing a red signal without authorization, a SPAD. The approach is based on Big Data techniques so that many types of data may be integrated, or… read more here.

Keywords: big data; safety; modeling approach; approach ... See more keywords

A novel approach to graph distinction through GENEOs and permutants

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-025-90152-7

Abstract: The theory of Group Equivariant Non-Expansive Operators (GENEOs) was initially developed in Topological Data Analysis for the geometric approximation of data observers, including their invariances and symmetries. This paper departs from that line of research… read more here.

Keywords: approach graph; novel approach; graph distinction; geneos ... See more keywords

Penalized Likelihood Approach for Graph Learning in the Presence of Outliers

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Published in 2025 at "IEEE Transactions on Signal and Information Processing over Networks"

DOI: 10.1109/tsipn.2025.3540701

Abstract: Graph learning is an important problem in the field of graph signal processing. However, the data available in real-world applications are often contaminated with outliers, which makes the application of traditional methods challenging. In this… read more here.

Keywords: approach graph; presence; likelihood approach; penalized likelihood ... See more keywords

A New Approach for Graph Signal Separation Based on Smoothness

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Published in 2024 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2024.3361712

Abstract: Blind source separation (BSS) is a signal processing subject that has recently been extended to graph signals. Graph signals that are smooth on their own graphs provide an opportunity to separate them from their summation… read more here.

Keywords: approach graph; separation; new approach; graph signals ... See more keywords