cs.DS · 2026-07-13 · No. 52
Data Structures and Algorithms, 2026-07-13.
1 new papers in cs.DS. Titles, authors,
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01 — The papers
1 entries-
01
Terminal Dimension Reduction for Time Series with Applications
Alexander Munteanu, Matteo Russo, David Saulpic, Chris Schwiegelshohn
cs.DS · cs.CG · cs.LG · stat.ML
Terminal embeddings have emerged as a powerful tool for dimension reduction. Given a set of points $P\subset \mathbb{R}^d$, a terminal embedding is a mapping $f:\mathbb{R}^d\rightarrow \mathbb{R}^t$ that preserves the pairwise distance between any pair of points $p\in P$ and $q\in \mathbb{R}^d$ up to small distortion under this mapping. Terminal embeddings have been particularly fruitful for constructing $k$-means and $k$-median coresets,...
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