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3 papers match

eess.SP2026

Comparison of Dimension Reduction Methods for EEG Seizure Detection Using Autonomous AI-Driven Optimization

Annika Stiehl, Vishal Kagade, Nicolas Weeger +3

The paper compares four dimension‑reduction techniques for multichannel EEG seizure detection and uses an autonomous AI framework to jointly optimize the representation and deep‑le…

#eeg seizure detection#dimension reduction#deep learning#autonomous ai optimization

stat.ME2026

Data compression for fast dimension reduction and clustering of high-dimensional discrete data

Silvia D'Angelo, Michael Fop

The paper proposes a deterministic compression method that transforms high‑dimensional binary or count data into a low‑dimensional continuous space using weighted sums from a scale…

#dimension reduction#clustering#high-dimensional data#discrete data

stat.ME2026

Anchored Geodesic Analysis for Multivariate Extremes

Alberto Quaini, Chen Zhou

The paper proposes anchored geodesic component analysis (AGCA), a dimension‑reduction technique for modeling multivariate extreme values on the positive unit sphere, and demonstrat…

#extreme value theory#dimension reduction#geodesic analysis#risk management