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