high-dimensional data 1l1 norm 1projection operators 1singular value decomposition 1sparse data 1taxicab geometry 1
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3 papers
math.FA2026
Geometric Interpretation of the Robustness of Taxicab Singular Value Decomposition of High-Dimensional Sparse Data
Vartan Choulakian
The paper compares Euclidean and Taxicab (L1) geometric interpretations of singular value decompositions, highlighting how the Taxicab SVD remains robust for extremely sparse, high…
math.DS2026★ 1 cited
Density of group languages in shift spaces
Valérie Berthé, Herman Goulet-Ouellet, Carl-Fredrik Nyberg-Brodda +2
The density of a rational language can be understood as the frequency of some pattern in the shift space, for example a pattern like "words with an even number of a given letter."…
astro-ph.SR2026
Pushing the Limit of Asteroseismic Detection for Cool Dwarfs using TESS and Deep Learning
Waly M Z Karim, Rocio Kiman, Derek Buzasi +6
Asteroseismology provides a powerful probe of stellar interiors by detecting stellar oscillations, including solar-like oscillations, which are stochastically excited by near-surfa…