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pro vyhledávání: '"Segal, Michael"'
We suggest efficient and provable methods to compute an approximation for imbalanced point clustering, that is, fitting $k$-centers to a set of points in $\mathbb{R}^d$, for any $d,k\geq 1$. To this end, we utilize \emph{coresets}, which, in the cont
Externí odkaz:
http://arxiv.org/abs/2408.14225
E-commerce is the fastest-growing segment of the economy. Online reviews play a crucial role in helping consumers evaluate and compare products and services. As a result, fake reviews (opinion spam) are becoming more prevalent and negatively impactin
Externí odkaz:
http://arxiv.org/abs/2205.13422
Autor:
Segal, Michael, author
Publikováno v:
The Religious Worldviews Reflected in the Dead Sea Scrolls: Proceedings of the Fourteenth International Symposium of the Orion Center for the Study of the Dead Sea Scrolls and Associated Literature, 28–30 May, 2013. 127:212-244
Publikováno v:
In Annals of Vascular Surgery - Brief Reports and Innovations June 2024 4(2)
Autor:
Danilchenko, Kiril, Segal, Michael
In this paper we study the dynamic version of the covering problem motivated by the coverage of drones' swarm: Let $S$ be a set of $n$ non-negative weighted points in the plane representing users. Also, consider a set $P$ of $m$ disks that correspond
Externí odkaz:
http://arxiv.org/abs/1912.06360
Autor:
Segal, Michael, author
Publikováno v:
Congress Volume Stellenbosch 2016. 177:251-284
Autor:
Segal, Michael, author1
Publikováno v:
The Text of the Hebrew Bible and Its Editions: Studies in Celebration of the Fifth Centennial of the Complutensian Polyglot. 1:34-55
In this paper we present a novel algorithm and efficient data structure for anomaly detection based on temporal data. Time-series data are represented by a sequence of symbolic time intervals, describing increasing and decreasing trends, in a compact
Externí odkaz:
http://arxiv.org/abs/1911.00336
Autor:
Zur, Yoad, Segal, Michael
In this work we study the problem of collecting protected data in ad-hoc sensor network using a mobile entity called MULE. The objective is to increase information survivability in the network. Sensors from all over the network, route their sensing d
Externí odkaz:
http://arxiv.org/abs/1910.09011