SISAP B

26 papers

YearTitle / Authors
2025Similarity Search and Applications - 17th International Conference, SISAP 2024, Providence, RI, USA, November 4-6, 2024, Proceedings
Edgar Chávez, Benjamin B. Kimia, Jakub Lokoc, Marco Patella, Jan Sedmidubský
2024A Dynamic Evaluation Metric for Feature Selection.
Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek
2024A Topological Evaluation Model for Manifold Learning and Embedding Techniques.
Victor Reyes, Margarita Liarou, Stéphane Marchand-Maillet
2024Adapting the Exploration Graph for High Throughput in Low Recall Regimes.
Nico Hezel, Bruno Schilling, Kai Uwe Barthel, Konstantin Schall, Klaus Jung
2024Advancing the PAM Algorithm to Semi-supervised k-Medoids Clustering.
Miriama Jánosová, Andreas Lang, Petra Budíková, Erich Schubert, Vlastislav Dohnal
2024An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data.
Reon Uemura, Daichi Amagata, Takahiro Hara
2024An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search.
Malte Helin Johnsen, Martin Aumüller
2024Bayesian Estimation Approaches for Local Intrinsic Dimensionality.
Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey
2024Demonstrating the Efficacy of Polyadic Queries.
Ben Claydon, Richard Connor, Alan Dearle, Lucia Vadicamo
2024ETDD70: Eye-Tracking Dataset for Classification of Dyslexia Using AI-Based Methods.
Jan Sedmidubský, Nicol Dostálová, Roman Svaricek, Wolf Culemann
2024Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting.
Erik Thordsen, Erich Schubert
2024Hierarchical Clustering Without Pairwise Distances by Incremental Similarity Search.
Erich Schubert
2024Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series.
Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks
2024Impact of the Neighborhood Parameter on Outlier Detection Algorithms.
Félix Iglesias, Conrado Martínez, Tanja Zseby
2024Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis.
Mbasa Joaquim Molo, Lucia Vadicamo, Emanuele Carlini, Claudio Gennaro, Richard Connor
2024Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration.
Michael E. Houle, Vincent Oria, Hamideh Sabaei
2024On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs.
Camilla Birch Okkels, Martin Aumüller, Arthur Zimek
2024Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment.
Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus Jung
2024Overview of the SISAP 2024 Indexing Challenge.
Eric Sadit Tellez, Martin Aumüller, Vladimir Mic
2024Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos.
Miriama Jánosová, Petra Budíková, Jan Sedmidubský
2024REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods.
Andrej Cernek, Jan Sedmidubský, Petra Budíková
2024Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers.
Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf
2024Scalable Polyadic Queries.
Richard Connor, Alan Dearle, Ben Claydon
2024Scaling Learned Metric Index to 100M Datasets.
David Procházka, Terézia Slanináková, Jozef Cernanský, Jaroslav Olha, Matej Antol, Vlastislav Dohnal
2024Top-Down Construction of Locally Monotonic Graphs for Similarity Search.
Cole Foster, Edgar Chávez, Benjamin B. Kimia
2024Towards Personalized Similarity Search for Vector Databases.
Marek Mahrík, Matús Sikyna, Vladimir Mic, Pavel Zezula