| 2019 | A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams. Felix Borutta, Peer Kröger, Thomas Hubauer |
| 2019 | A k-Skyband Approach for Feature Selection. Marcos V. N. Bedo, Paolo Ciaccia, Davide Martinenghi, Daniel de Oliveira |
| 2019 | ADAMiSS: Advanced Data Analysis, Mining and Search, System. Jakub Peschel, Pavel Zezula |
| 2019 | Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs. Leonid Boytsov, Eric Nyberg |
| 2019 | An Image Retrieval System for Video. Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo |
| 2019 | Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik |
| 2019 | Explainable Similarity of Datasets Using Knowledge Graph. Petr Skoda, Jakub Klímek, Martin Necaský, Tomás Skopal |
| 2019 | Fast Locality-Sensitive Hashing Frameworks for Approximate Near Neighbor Search. Tobias Christiani |
| 2019 | Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines. Cun Matthew Mu, Jun Raymond Zhao, Guang Yang, Binwei Yang, Zheng John Yan |
| 2019 | Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. Erich Schubert, Peter J. Rousseeuw |
| 2019 | Feature Similarity: A Method to Detect Unwanted Feature Interactions Earlier in Software Product Lines. Seyedehzahra Khoshmanesh, Robyn R. Lutz |
| 2019 | Index Maintenance Strategy and Cost Model for Extended Cluster Pruning. Anders Munck Højsgaard, Björn Þór Jónsson, Philippe Bonnet |
| 2019 | Indexability-Based Dataset Partitioning. Angello Hoyos, Ubaldo Ruiz, Stéphane Marchand-Maillet, Edgar Chávez |
| 2019 | Leveraging Feature Similarity for Earlier Detection of Unwanted Feature Interactions in Evolving Software Product Lines. Seyedehzahra Khoshmanesh, Robyn R. Lutz |
| 2019 | MORe++: k-Means Based Outlier Removal on High-Dimensional Data. Anna Beer, Jennifer Lauterbach, Thomas Seidl |
| 2019 | Metric Embedding into the Hamming Space with the n-Simplex Projection. Lucia Vadicamo, Vladimir Mic, Fabrizio Falchi, Pavel Zezula |
| 2019 | Multiple Instance Classification in the Image Domain. Ilaria Bartolini, Pietro Pascarella, Marco Patella |
| 2019 | Non-metric Similarity Search Using Genetic TriGen. David Bernhauer, Tomás Skopal |
| 2019 | On coMADs and Principal Component Analysis. Daniyal Kazempour, Max Hünemörder, Thomas Seidl |
| 2019 | Permutation's Signatures for Proximity Searching in Metric Spaces. Karina Figueroa, Nora Reyes |
| 2019 | Privacy-Preserving Text Similarity via Non-Prefix-Free Codes. M. Oguzhan Külekci, Ismail Habib, Amir Aghabiglou |
| 2019 | Protein Complex Similarity Based on Weisfeiler-Lehman Labeling. Bianca K. Stöcker, Till Schäfer, Petra Mutzel, Johannes Köster, Nils M. Kriege, Sven Rahmann |
| 2019 | Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study. Leonid Boytsov, Eric Nyberg |
| 2019 | Query Filtering with Low-Dimensional Local Embeddings. Edgar Chávez, Richard Connor, Lucia Vadicamo |
| 2019 | SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl |
| 2019 | SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. Lucia Vadicamo, Richard Connor, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti |
| 2019 | Similarity Grouping in Big Data Systems. Yasin N. Silva, Manuel Sandoval, Diana Prado, Xavier Wallace, Chuitian Rong |
| 2019 | Similarity Search and Applications - 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings Giuseppe Amato, Claudio Gennaro, Vincent Oria, Milos Radovanovic |
| 2019 | Storing Data Once in M-tree and PM-tree. Humberto Luiz Razente, Maria Camila Nardini Barioni |
| 2019 | Subspace Determination Through Local Intrinsic Dimensional Decomposition. Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek |
| 2019 | The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. Martin Aumüller, Matteo Ceccarello |
| 2019 | Towards Automatic Configuration of Interactive Known-Item Search Systems. Ladislav Peska, Gregor Kovalcík, Jakub Lokoc |
| 2019 | k-Distance Approximation for Memory-Efficient RkNN Retrieval. Max Berrendorf, Felix Borutta, Peer Kröger |