( en | de | ru )

 

Disambiguation of "Psarros, Ioannis"

Author of the publication

copydeleteadd this publication to your clipboard
Low-quality dimension reduction and high-dimensional Approximate Nearest Neighbor.

, , and . CoRR, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nikolaos Psarros

Ioannis Gavriel

Ioannis Efthimiadis

Ioannis Vardoulakis

Ioannis Sikiotis

 

Other publications of authors with the same name

ANN for Time Series Under the Fréchet Distance., and . WADS, volume 12808 of Lecture Notes in Computer Science, page 315-328. Springer, (2021)A Tool for Visual Exploration and Analysis of Solar Photovoltaic Module Data., , , , , , and . EDBT/ICDT Workshops, volume 3379 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)The VC Dimension of Metric Balls Under Fréchet and Hausdorff Distances., , and . SoCG, volume 129 of LIPIcs, page 28:1-28:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Low-quality dimension reduction and high-dimensional Approximate Nearest Neighbor., , and . CoRR, (2014)Products of Euclidean Metrics and Applications to Proximity Questions among Curves., and . SoCG, volume 99 of LIPIcs, page 37:1-37:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Tight Bounds for Approximate Near Neighbor Searching for Time Series under the Fréchet Distance., , , and . SODA, page 517-550. SIAM, (2022)Near-neighbor preserving dimension reduction via coverings for doubling subsets of ℓ1., , and . Theor. Comput. Sci., (2023)Random Projections for Curves in High Dimensions., and . SoCG, volume 258 of LIPIcs, page 53:1-53:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Near-Neighbor Preserving Dimension Reduction for Doubling Subsets of l1., , and . APPROX-RANDOM, volume 145 of LIPIcs, page 47:1-47:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data., , , , , , , , , and 10 other author(s). IEEE Big Data, page 3179-3185. IEEE, (2022)