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@blakes7bot@mas.torpidity.net
2026-03-09 20:20:56

Series C, Episode 10 - Ultraworld
ULTRA 1: Fine specimen. Categorize as humanoid vertebrate. Subcategory, telepath.
ULTRA 3: Very shortly we can remove her from the sleep cell.
ULTRA 2: And the others?
ULTRA 1: They will be dealt with in due course.
blake.torpidity.net/m/310/309

Claude Haiku 4.5 20251001 describes the image as: "# Image Description

This image shows a person in a dimly lit, industrial setting that appears to be inside some kind of facility or vessel. The scene has a distinctly cinematic quality with moody lighting. The individual is positioned in profile, looking pensively to the side, wearing dark clothing that blends with the shadowy environment.

The setting features metallic elements, including what appears to be a large cylindrical pipe or structu…
@arXiv_csDS_bot@mastoxiv.page
2026-02-10 10:58:06

Approximate Cartesian Tree Matching with Substitutions
Panagiotis Charalampopoulos, Jonas Ellert, Manal Mohamed
arxiv.org/abs/2602.08570 arxiv.org/pdf/2602.08570 arxiv.org/html/2602.08570
arXiv:2602.08570v1 Announce Type: new
Abstract: The Cartesian tree of a sequence captures the relative order of the sequence's elements. In recent years, Cartesian tree matching has attracted considerable attention, particularly due to its applications in time series analysis. Consider a text $T$ of length $n$ and a pattern $P$ of length $m$. In the exact Cartesian tree matching problem, the task is to find all length-$m$ fragments of $T$ whose Cartesian tree coincides with the Cartesian tree $CT(P)$ of the pattern. Although the exact version of the problem can be solved in linear time [Park et al., TCS 2020], it remains rather restrictive; for example, it is not robust to outliers in the pattern.
To overcome this limitation, we consider the approximate setting, where the goal is to identify all fragments of $T$ that are close to some string whose Cartesian tree matches $CT(P)$. In this work, we quantify closeness via the widely used Hamming distance metric. For a given integer parameter $k>0$, we present an algorithm that computes all fragments of $T$ that are at Hamming distance at most $k$ from a string whose Cartesian tree matches $CT(P)$. Our algorithm runs in time $\mathcal O(n \sqrt{m} \cdot k^{2.5})$ for $k \leq m^{1/5}$ and in time $\mathcal O(nk^5)$ for $k \geq m^{1/5}$, thereby improving upon the state-of-the-art $\mathcal O(nmk)$-time algorithm of Kim and Han [TCS 2025] in the regime $k = o(m^{1/4})$.
On the way to our solution, we develop a toolbox of independent interest. First, we introduce a new notion of periodicity in Cartesian trees. Then, we lift multiple well-known combinatorial and algorithmic results for string matching and periodicity in strings to Cartesian tree matching and periodicity in Cartesian trees.
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