Abstract is missing.
- An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric DataReon Uemura, Daichi Amagata, Takahiro Hara. 3-17 [doi]
- REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation MethodsAndrej Cernek, Jan Sedmidubský, Petra Budíková. 18-33 [doi]
- ETDD70: Eye-Tracking Dataset for Classification of Dyslexia Using AI-Based MethodsJan Sedmidubský, Nicol Dostálová, Roman Svaricek, Wolf Culemann. 34-48 [doi]
- Demonstrating the Efficacy of Polyadic QueriesBen Claydon, Richard Connor 0001, Alan Dearle, Lucia Vadicamo. 49-56 [doi]
- Scalable Polyadic QueriesRichard Connor 0001, Alan Dearle, Ben Claydon. 57-64 [doi]
- A Dynamic Evaluation Metric for Feature SelectionMuhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek. 65-72 [doi]
- Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular VideosMiriama Jánosová, Petra Budíková, Jan Sedmidubský. 73-87 [doi]
- Impact of the Neighborhood Parameter on Outlier Detection AlgorithmsFélix Iglesias, Conrado Martínez, Tanja Zseby. 88-96 [doi]
- Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding AlignmentKonstantin Schall, Kai-Uwe Barthel, Nico Hezel, Klaus Jung. 97-110 [doi]
- Bayesian Estimation Approaches for Local Intrinsic DimensionalityZaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey 0001. 111-125 [doi]
- Towards Personalized Similarity Search for Vector DatabasesMarek Mahrík, Matús Sikyna, Vladimir Mic, Pavel Zezula. 126-139 [doi]
- Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative AnalysisMbasa Joaquim Molo, Lucia Vadicamo, Emanuele Carlini, Claudio Gennaro, Richard Connor 0001. 140-154 [doi]
- An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier SearchMalte Helin Johnsen, Martin Aumüller 0001. 155-169 [doi]
- On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor GraphsCamilla Birch Okkels, Martin Aumüller 0001, Arthur Zimek. 170-184 [doi]
- A Topological Evaluation Model for Manifold Learning and Embedding TechniquesVictor Reyes, Margarita Liarou, Stéphane Marchand-Maillet. 185-192 [doi]
- Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point IterationMichael E. Houle, Vincent Oria, Hamideh Sabaei. 193-206 [doi]
- Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time SeriesJan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks. 207-214 [doi]
- Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for OutliersPhilipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf. 215-222 [doi]
- Advancing the PAM Algorithm to Semi-supervised k-Medoids ClusteringMiriama Jánosová, Andreas Lang 0002, Petra Budíková, Erich Schubert, Vlastislav Dohnal. 223-237 [doi]
- Hierarchical Clustering Without Pairwise Distances by Incremental Similarity SearchErich Schubert. 238-252 [doi]
- Overview of the SISAP 2024 Indexing ChallengeEric Sadit Tellez, Martin Aumüller 0001, Vladimir Mic. 255-265 [doi]
- Scaling Learned Metric Index to 100M DatasetsDavid Procházka, Terézia Slanináková, Jozef Cernanský, Jaroslav Olha, Matej Antol, Vlastislav Dohnal. 266-273 [doi]
- Grouping Sketches to Index High-Dimensional Data in a Resource-Limited SettingErik Thordsen, Erich Schubert. 274-282 [doi]
- Adapting the Exploration Graph for High Throughput in Low Recall RegimesNico Hezel, Bruno Schilling, Kai-Uwe Barthel, Konstantin Schall, Klaus Jung. 283-290 [doi]
- Top-Down Construction of Locally Monotonic Graphs for Similarity SearchCole Foster, Edgar Chávez, Benjamin B. Kimia. 291-300 [doi]