Výsledky vyhledávání - "Katerina Zamani"

Detecting and Measuring Human Walking in Laser Scans

Autor: Stasinos Konstantopoulos, Katerina Zamani, Georgios Stavrinos

Publikováno v: SETN

This paper presents work on detecting and tracking human movement in planar range data. Our method stacks multiple planar scans into a 3D frame where time serves as the third dimension. This representation simultaneously informs about the size and sh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b71409ecdc135a52df3fc2c5a9e371cb
https://doi.org/10.1145/3200947.3201026

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A Peer-to-Peer Protocol and System Architecture for Privacy-Preserving Statistical Analysis

Autor: Maria Dagioglou, Stasinos Konstantopoulos, Katerina Zamani, Vangelis Karkaletsis, Angelos Charalambidis

Publikováno v: Francesco Buccafurri; Andreas Holzinger; Peter Kieseberg; A Min Tjoa; Edgar Weippl. International Conference on Availability, Reliability, and Security (CD-ARES), Aug 2016, Salzburg, Austria. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9817, pp.236-250, 2016, Availability, Reliability, and Security in Information Systems. 〈10.1007/978-3-319-45507-5_16〉
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Availability, Reliability, and Security in Information Systems
International Conference on Availability, Reliability, and Security (CD-ARES)
Sygma
Hyper Article en Ligne-Sciences de l'Homme et de la Société
Hyper Article en Ligne
ZENODO
INRIA a CCSD electronic archive server
Proceedings of Privacy Aware Machine Learning for Health Data Science Special Session (PAML 2016), at the International Conference on Availability, Reliability, and Security (CD-ARES 2016), Salzburg, Austria, 31 August 31-2 September 2016.
Lecture Notes in Computer Science ISBN: 9783319455068
CD-ARES
International Conference on Availability, Reliability, and Security (CD-ARES), Aug 2016, Salzburg, Austria. pp.236-250, ⟨10.1007/978-3-319-45507-5_16⟩

Part 2: Special Session on Privacy Aware Machine Learning for Health Data Science (PAML 2016); International audience; The insights gained by the large-scale analysis of health-related data can have an enormous impact in public health and medical res

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3803895b07c48be0c695e4a88374fc0e
https://zenodo.org/record/61017

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Workload-Aware Self-tuning Histograms for the Semantic Web

Autor: Katerina Zamani, Angelos Charalambidis, Effrosyni Mavroudi, Nickolas Zoulis, Stasinos Konstantopoulos

Publikováno v: Lecture Notes in Computer Science ISBN: 9783662534540

Query processing systems typically rely on histograms, data structures that approximate data distribution, in order to optimize query execution. Histograms can be constructed by scanning the database tables and aggregating the values of the attribute

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fdc476eaf0c48a0b2b3e2041c836ced7
https://doi.org/10.1007/978-3-662-53455-7_6

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Autor: Georgios Paliouras, Katerina Zamani, Dimitrios Vogiatzis

Publikováno v: Similarity-Based Pattern Recognition ISBN: 9783319242606
SIMBAD

In this paper we study the identifiability of users across social networks, with a trainable combination of different similarity metrics. This application is becoming particularly interesting as the number and variety of social networks increase and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85c19151ba4dc9de620c7282d737f6c4
https://doi.org/10.1007/978-3-319-24261-3_14

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