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bib:viper_conf [2023/04/07 17:41] marchand |
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| + | @inproceedings{ruiz:sisap2022, | ||
| + | author = {Ubaldo Ruiz and | ||
| + | St{\'{e}}phane Marchand{-}Maillet and | ||
| + | Edgar Ch{\'{a}}vez}, | ||
| + | editor = {Tom{\'{a}}s Skopal and | ||
| + | Fabrizio Falchi and | ||
| + | Jakub Lokoc and | ||
| + | Maria Luisa Sapino and | ||
| + | Ilaria Bartolini and | ||
| + | Marco Patella}, | ||
| + | title = {Stable Anchors for Matching Unlabelled Point Clouds}, | ||
| + | booktitle = {Similarity Search and Applications - 15th International Conference, | ||
| + | {SISAP} 2022, Bologna, Italy, October 5-7, 2022, Proceedings}, | ||
| + | series = {Lecture Notes in Computer Science}, | ||
| + | volume = {13590}, | ||
| + | pages = {54--63}, | ||
| + | publisher = {Springer}, | ||
| + | year = {2022}, | ||
| + | url = {https://doi.org/10.1007/978-3-031-17849-8\_5}, | ||
| + | doi = {10.1007/978-3-031-17849-8\_5}, | ||
| + | timestamp = {Tue, 04 Oct 2022 20:28:43 +0200}, | ||
| + | biburl = {https://dblp.org/rec/conf/sisap/RuizMC22.bib}, | ||
| + | bibsource = {dblp computer science bibliography, https://dblp.org} | ||
| + | } | ||
| + | |||
| + | |||
| @InProceedings{marchand:sisap2022, | @InProceedings{marchand:sisap2022, | ||
| author="Marchand-Maillet, Stephane | author="Marchand-Maillet, Stephane | ||
| Line 12: | Line 38: | ||
| year="2022", | year="2022", | ||
| publisher="Springer International Publishing", | publisher="Springer International Publishing", | ||
| - | address="Cham", | + | address="Bologna, Italy", |
| pages="164--177", | pages="164--177", | ||
| abstract="Given a finite dataset in a metric space, we investigate the definition of a representative sample. Such a definition is important in data analysis strategies to seed algorithms (such as {\$}{\$}k{\$}{\$}-means) and for pivot-based data indexing techniques. We discuss the geometrical and statistical facets of such a definition.", | abstract="Given a finite dataset in a metric space, we investigate the definition of a representative sample. Such a definition is important in data analysis strategies to seed algorithms (such as {\$}{\$}k{\$}{\$}-means) and for pivot-based data indexing techniques. We discuss the geometrical and statistical facets of such a definition.", | ||
| isbn="978-3-031-17849-8", | isbn="978-3-031-17849-8", | ||
| - | note{Best paper award} | + | note{(Best paper award)} |
| } | } | ||