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X-WR-CALDESC:Events for Department of Computer Science
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DTSTART:20210328T010000
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DTSTART;TZID=Europe/Bucharest:20210623T100000
DTEND;TZID=Europe/Bucharest:20210623T104500
DTSTAMP:20260601T080341
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SUMMARY:Proximity Curves for Potential-Based Clustering
DESCRIPTION:Speaker: Prof. Daniel Neagu\, University of Bradford\, UK \nVenue: The talk will be delivered online at: https://meet.google.com/src-fgqr-max \nTitle: Proximity Curves for Potential-Based Clustering \nAbstract: The talk introduces the concept of proximity curve and a new clustering algorithm for a finite set of data points. Each point is endowed with a potential constructed by means of a multi-dimensional Cauchy density\, contributing to an overall anisotropic potential function. Guided by the steepest descent algorithm\, the data points are successively visited and removed one by one\, and\, at each stage\, the overall potential is updated and the magnitude of its local gradient is calculated. The result is a finite sequence of tuples\, the proximity curve\, whose pattern is analysed to give rise to a deterministic clustering. The results are consistent with the proposed theoretical framework and data properties\, and open new approaches and applications to consider data processing from different perspectives and interpret data attributes’ contribution to patterns. \nThe talk is based on the paper: Csenki\, A.\, Neagu\, D.\, Torgunov\, D.\, Micic\, N.\, (2020) Proximity Curves for Potential-Based Clustering. J Classif 37\, 671–695 (2020). Available online at: https://doi.org/10.1007/s00357-019-09348-y \nThe talk is facilitated by Erasmus+ funding scheme of academic exchange and collaboration between the University of Bradford and the University of Bucharest. \nShort Bio: Daniel Neagu is Professor of Computing with the University of Bradford from 2011 and the AI Research Group leader. His research focuses on machine learning techniques applied in (automotive) engineering\, product safety\, toxicology\, healthcare\, data quality\, and big data.
URL:https://cs.unibuc.ro/event/daniel-neagu-proximity-curves-for-potential-based-clustering/
LOCATION:Online at https://meet.google.com/src-fgqr-max
CATEGORIES:Department Conferences
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DTSTART;TZID=UTC:20181217T143000
DTEND;TZID=UTC:20181217T153000
DTSTAMP:20260601T080341
CREATED:20181206T042947Z
LAST-MODIFIED:20181206T050611Z
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SUMMARY:Some Problems in Multivariate Post-  Quantum Cryptography
DESCRIPTION:Dr. Daniel Smith-Tone (National Institute of Standards and Technology). \n\nCurrently\, the National Institute of Standards and Technology (NIST) and the international cryptography research community are engaged in a massive effort to optimize and evaluate candidate post-quantum public key algorithms; i.e. cryptosystems we can use to secure our public key infrastructure against adversaries with access to quantum computers.  One family of candidate algorithms is based on the classical problem of solving systems of multivariate nonlinear equations\, a problem at the root of a rich array of investigations in algebra and geometry since the beginning of the twentieth century.
URL:https://cs.unibuc.ro/event/some-problems-in-multivariate-post-quantum-cryptography/
LOCATION:Amfiteatrul “Pompeiu”\, Facultatea de Matematica si Informatica\, Academiei 14\, Bucuresti\, 010014\, Romania
CATEGORIES:Department Conferences
ATTACH;FMTTYPE=image/jpeg:https://cs.unibuc.ro/wp-content/uploads/2018/12/SmithToneThumbnail.jpg
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