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17th SISAP 2024, Providence, RI, USA
- Edgar Chávez
, Benjamin Kimia, Jakub Lokoc
Similarity Search and Applications - 17th International Conference, SISAP 2024, Providence, RI, USA, November 4-6, 2024, Proceedings. Lecture Notes in Computer Science 15268, Springer 2025, ISBN 978-3-031-75822-5
Research Track
- Reon Uemura, Daichi Amagata
An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data. 3-17 - Andrej Cernek
REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods. 18-33 - Jan Sedmidubský
ETDD70: Eye-Tracking Dataset for Classification of Dyslexia Using AI-Based Methods. 34-48 - Ben Claydon
Demonstrating the Efficacy of Polyadic Queries. 49-56 - Richard Connor
Scalable Polyadic Queries. 57-64 - Muhammad Rajabinasab
A Dynamic Evaluation Metric for Feature Selection. 65-72 - Miriama Jánosová
Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos. 73-87 - Félix Iglesias
Impact of the Neighborhood Parameter on Outlier Detection Algorithms. 88-96 - Konstantin Schall
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment. 97-110 - Zaher Joukhadar
Bayesian Estimation Approaches for Local Intrinsic Dimensionality. 111-125 - Marek Mahrík, Matús Sikyna
Towards Personalized Similarity Search for Vector Databases. 126-139 - Mbasa Joaquim Molo
Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis. 140-154 - Malte Helin Johnsen, Martin Aumüller
An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search. 155-169 - Camilla Birch Okkels, Martin Aumüller
On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs. 170-184 - Victor Reyes, Margarita Liarou, Stéphane Marchand-Maillet:
A Topological Evaluation Model for Manifold Learning and Embedding Techniques. 185-192 - Michael E. Houle
Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration. 193-206 - Jan David Hüwel
Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. 207-214 - Philipp Röchner
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers. 215-222 - Miriama Jánosová
Advancing the PAM Algorithm to Semi-supervised k-Medoids Clustering. 223-237 - Erich Schubert
Hierarchical Clustering Without Pairwise Distances by Incremental Similarity Search. 238-252
Indexing Challenge
- Eric Sadit Tellez
Overview of the SISAP 2024 Indexing Challenge. 255-265 - David Procházka
Scaling Learned Metric Index to 100M Datasets. 266-273 - Erik Thordsen
Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting. 274-282 - Nico Hezel
Adapting the Exploration Graph for High Throughput in Low Recall Regimes. 283-290 - Cole Foster, Edgar Chávez, Benjamin B. Kimia:
Top-Down Construction of Locally Monotonic Graphs for Similarity Search. 291-300
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