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