FIMSIM: Discovering Communities by Frequent Item-Set Mining and Similarity Search

Autor: Michal Batko, Pavel Zezula, Jan Sedmidubský, Jakub Valčík, Jakub Peschel

Publikováno v: Similarity Search and Applications ISBN: 9783030896560
SISAP

With the growth of structured graph data, the analysis of networks is an important topic. Community mining is one of the main analytical tasks of network analysis. Communities are dense clusters of nodes, possibly containing additional information ab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82ff9ce6f3cef8eaa5d935f1d461dab7
https://doi.org/10.1007/978-3-030-89657-7_28

LSTM-based real-time action detection and prediction in human motion streams

Autor: Petr Elias, Jan Sedmidubský, Pavel Zezula, Fabio Carrara

Publikováno v: Multimedia tools and applications 78 (2019): 27309–27331. doi:10.1007/s11042-019-07827-3
info:cnr-pdr/source/autori:Carrara F.; Elias P.; Sedmidubsky J.; Zezula P./titolo:LSTM-based real-time action detection and prediction in human motion streams/doi:10.1007%2Fs11042-019-07827-3/rivista:Multimedia tools and applications/anno:2019/pagina_da:27309/pagina_a:27331/intervallo_pagine:27309–27331/volume:78

Motion capture data digitally represent human movements by sequences of 3D skeleton configurations. Such spatio-temporal data, often recorded in the stream-based nature, need to be efficiently processed to detect high-interest actions, for example, i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::def81449ee7b945c6e131e5ad546df50
http://hdl.handle.net/11568/1001466

Fast Subsequence Matching in Motion Capture Data

Autor: Jan Sedmidubský, Jan Švec, Pavel Zezula

Publikováno v: Advances in Databases and Information Systems ISBN: 9783319669168
ADBIS

Motion capture data digitally represent human movements by sequences of body configurations in time. Subsequence matching in such spatio-temporal data is difficult as query-relevant motions can vary in lengths and occur arbitrarily in a very long mot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12f058eaf46093894c3548b3074d6fbd
https://doi.org/10.1007/978-3-319-66917-5_5

Content-Based Management of Human Motion Data: Survey and Challenges

Autor: Jan Sedmidubsky, Petr Elias, Petra Budikova, Pavel Zezula

Publikováno v: IEEE Access, Vol 9, Pp 64241-64255 (2021)

Digitization of human motion using skeleton representations offers exciting possibilities for a large number of applications but, at the same time, requires innovative techniques for their effective and efficient processing. Content-based processing

Externí odkaz: https://doaj.org/article/29fcaf076f214ea78579a7b373e2d130