SISAP B

32 papers

YearTitle / Authors
2021A Cost Model for Reverse Nearest Neighbor Query Processing on R-Trees Using Self Pruning.
Felix Borutta, Peer Kröger, Matthias Renz
2021A Triangle Inequality for Cosine Similarity.
Erich Schubert
2021Accelerating Spherical k-Means.
Erich Schubert, Andreas Lang, Gloria Feher
2021An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs.
Benjamin Paaßen
2021Clustering Adverse Events of COVID-19 Vaccines Across the United States.
Ahmed Askar, Andreas Züfle
2021Data-Driven Learned Metric Index: An Unsupervised Approach.
Terézia Slanináková, Matej Antol, Jaroslav Olha, Vojtech Kana, Vlastislav Dohnal
2021Discovering Latent Information from Noisy Sources in the Cultural Heritage Domain.
Fabrizio Scarrone
2021FIMSIM: Discovering Communities by Frequent Item-Set Mining and Similarity Search.
Jakub Peschel, Michal Batko, Jakub Valcík, Jan Sedmidubský, Pavel Zezula
2021Fairest Neighbors - Tradeoffs Between Metric Queries.
Magnus Lie Hetland, Halvard Hummel
2021Graph Embedding in Vector Spaces Using Matching-Graphs.
Mathias Fuchs, Kaspar Riesen
2021Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities.
Jonatan Møller Nuutinen Gøttcke, Arthur Zimek
2021How Many Neighbours for Known-Item Search?
Jakub Lokoc, Tomás Soucek
2021Indexed Polygon Matching Under Similarities.
Fernando Luque-Suárez, Jorge L. López-López, Edgar Chávez
2021Local Intrinsic Dimensionality and Graphs: Towards LID-aware Graph Embedding Algorithms.
Milos Savic, Vladimir Kurbalija, Milos Radovanovic
2021MESS: Manifold Embedding Motivated Super Sampling.
Erik Thordsen, Erich Schubert
2021Metric Indexing for Graph Similarity Search.
Franka Bause, David B. Blumenthal, Erich Schubert, Nils M. Kriege
2021Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation.
Jonatan Møller Nuutinen Gøttcke, Arthur Zimek, Ricardo J. G. B. Campello
2021On Generalizing Permutation-Based Representations for Approximate Search.
Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato
2021Optimizing Fair Approximate Nearest Neighbor Searches Using Threaded B+-Trees.
Omid Jafari, Preeti Maurya, Khandker Mushfiqul Islam, Parth Nagarkar
2021Organizing Similarity Spaces Using Metric Hulls.
Miriama Jánosová, David Procházka, Vlastislav Dohnal
2021Progressive Query-Driven Entity Resolution.
Luca Zecchini
2021Relationships Between Local Intrinsic Dimensionality and Tail Entropy.
James Bailey, Michael E. Houle, Xingjun Ma
2021Scaling Up Set Similarity Joins Using a Cost-Based Distributed-Parallel Framework.
Fabian Fier, Johann-Christoph Freytag
2021Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings
Nora Reyes, Richard Connor, Nils M. Kriege, Daniyal Kazempour, Ilaria Bartolini, Erich Schubert, Jian-Jia Chen
2021Similarity Search for an Extreme Application: Experience and Implementation.
Vladimir Mic, Tomás Racek, Ales Krenek, Pavel Zezula
2021Similarity vs. Relevance: From Simple Searches to Complex Discovery.
Tomás Skopal, David Bernhauer, Petr Skoda, Jakub Klímek, Martin Necaský
2021Structural Intrinsic Dimensionality.
Stéphane Marchand-Maillet, Oscar Pedreira, Edgar Chávez
2021The Effect of Random Projection on Local Intrinsic Dimensionality.
Michael E. Houle, Ken-ichi Kawarabayashi
2021The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections.
Lucas Gnecco, Nicolas Boria, Sébastien Bougleux, Florian Yger, David B. Blumenthal
2021Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing.
Maximilian Hünemörder, Peer Kröger, Matthias Renz
2021Towards an Italian Healthcare Knowledge Graph.
Marco Postiglione
2021What Makes a Good Movie Recommendation? Feature Selection for Content-Based Filtering.
Maciej Gawinecki, Wojciech Szmyd, Urszula Zuchowicz, Marcin Walas