Zobrazeno 1 - 10
of 624
pro vyhledávání: '"Lehavi A"'
Autor:
Lehavi, Adam M.
The Ramsey number $R(s,t)$ is the smallest integer $n$ such that all graphs of size $n$ contain a clique of size $s$ or an independent set of size $t$. $\mathcal{R}(s,t,n)$ is the set of all counterexample graphs without this property for a given $n$
Externí odkaz:
http://arxiv.org/abs/2411.04267
Autor:
Çelik, Türkü Özlüm, Lehavi, David
We derive a formula for reconstructing a generic complex canonical curve $C$ of genus 6 and 7 in terms of the theta hyperplanes of $C$. Hence, we get a generic inverse to the Torelli map, as well as a complete description of the Schottky locus in the
Externí odkaz:
http://arxiv.org/abs/2401.02235
Autor:
Nam, Yoonsoo, Lehavi, Adam, Yang, Daniel, Bose, Digbalay, Swayamdipta, Swabha, Narayanan, Shrikanth
Video summarization remains a huge challenge in computer vision due to the size of the input videos to be summarized. We propose an efficient, language-only video summarizer that achieves competitive accuracy with high data efficiency. Using only tex
Externí odkaz:
http://arxiv.org/abs/2309.09405
This paper presents a pipeline with minimal human influence for scraping and detecting bias on college newspaper archives. This paper introduces a framework for scraping complex archive sites that automated tools fail to grab data from, and subsequen
Externí odkaz:
http://arxiv.org/abs/2309.06557
Autor:
Vott, Steve, Lehavi, Adam M.
The Ramsey number is the minimum number of nodes, $n = R(s, t)$, such that all undirected simple graphs of order $n$, contain a clique of order $s$, or an independent set of order $t$. This paper explores the application of a best first search algori
Externí odkaz:
http://arxiv.org/abs/2308.11943
Autor:
Lehavi, Adam M., Kim, Seongtae
Publikováno v:
IEEE.ICMLA 21 (2022) 1326-1333
In the realm of cybersecurity, intrusion detection systems (IDS) detect and prevent attacks based on collected computer and network data. In recent research, IDS models have been constructed using machine learning (ML) and deep learning (DL) methods
Externí odkaz:
http://arxiv.org/abs/2303.12891
Autor:
Hayut, Yair, Lehavi, David
Publikováno v:
SIAM Journal on Applied Algebra and Geometry Volume 7 Issue 2 2023 pp. 311-344
We introduce invariants for compact $C^1$-orientable surfaces (with boundary) in $\mathbb{R}^3$ up to rigid transformations. Our invariants are certain degree four polynomials in the moments of the delta function of the surface. We give an effective
Externí odkaz:
http://arxiv.org/abs/2108.13144
Publikováno v:
Local and Regional Anesthesia, Vol 2012, Iss default, Pp 15-16 (2012)
Amit Lehavi, Boris Shenderey, Yeshayahu (Shai) KatzDepartment of Anesthesiology, Rambam Health Care Campus, Haifa, IsraelAbstract: We report a case of a patient, chronically treated with oral lithium, who presented with an extremely prolonged (42-hou
Externí odkaz:
https://doaj.org/article/a8c73fcd55a44645a198cc51b734ceea
Autor:
Lehavi, David
Publikováno v:
Experimental Mathematics, published online 2022
We effectively reconstruct the set of enveloping quadrics of a generic curve C of genus 5 from its theta hyperplanes; for a generic genus 5 curve C this data suffices to effectively reconstruct C. As a consequence we get a complete description of the
Externí odkaz:
http://arxiv.org/abs/1908.02355
Autor:
Gershoni, Moran, Braun, Tslil, Hauser, Ron, Barda, Shimi, Lehavi, Ofer, Malcov, Mira, Frumkin, Tsvia, Kalma, Yael, Pietrokovski, Shmuel, Arama, Eli, Kleiman, Sandra E.
Publikováno v:
In Human Genetics and Genomics Advances 13 July 2023 4(3)