Robotics & Machine Learning Daily News2024,Issue(Jan.9) :11-12.

Reports from Queen’s University Provide New Insights into Computational Intelligence (Spatio-temporal Eeg Representation Learning On Riemannian Manifold and Euclidean Space)

Robotics & Machine Learning Daily News2024,Issue(Jan.9) :11-12.

Reports from Queen’s University Provide New Insights into Computational Intelligence (Spatio-temporal Eeg Representation Learning On Riemannian Manifold and Euclidean Space)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning - Computational Intelligence is now available.According to news reporting originating from Kingston, Canada, by NewsRx correspondents, researchstated, “We present a novel deep neural architecture for learning electroencephalogram (EEG). To learnthe spatial information, our model first obtains the Riemannian mean and distance from spatial covariancematrices (SCMs) on a Riemannian manifold.”

Key words

Kingston/Canada/North and Central America/Computational Intelligence/Machine Learning/Queen’s University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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