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Publication search results
found 26 matches
- 2025
- Edgar Chávez
, Benjamin Kimia, Jakub Lokoc, Marco Patella, Jan Sedmidubsk:
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 [contents] - 2024
- Andrej Cernek, Jan Sedmidubský, Petra Budíková:
REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods. SISAP 2024: 18-33 - Ben Claydon, Richard Connor, Alan Dearle, Lucia Vadicamo:
Demonstrating the Efficacy of Polyadic Queries. SISAP 2024: 49-56 - Richard Connor, Alan Dearle, Ben Claydon:
Scalable Polyadic Queries. SISAP 2024: 57-64 - Cole Foster, Edgar Chávez, Benjamin B. Kimia:
Top-Down Construction of Locally Monotonic Graphs for Similarity Search. SISAP 2024: 291-300 - Nico Hezel, Bruno Schilling, Kai Uwe Barthel, Konstantin Schall, Klaus Jung:
Adapting the Exploration Graph for High Throughput in Low Recall Regimes. SISAP 2024: 283-290 - Michael E. Houle, Vincent Oria, Hamideh Sabaei:
Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration. SISAP 2024: 193-206 - Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks:
Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. SISAP 2024: 207-214 - Félix Iglesias, Conrado Martínez, Tanja Zseby:
Impact of the Neighborhood Parameter on Outlier Detection Algorithms. SISAP 2024: 88-96 - Miriama Jánosová, Petra Budíková, Jan Sedmidubský:
Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos. SISAP 2024: 73-87 - Miriama Jánosová, Andreas Lang, Petra Budíková, Erich Schubert, Vlastislav Dohnal:
Advancing the PAM Algorithm to Semi-supervised k-Medoids Clustering. SISAP 2024: 223-237 - Malte Helin Johnsen, Martin Aumüller:
An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search. SISAP 2024: 155-169 - Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey:
Bayesian Estimation Approaches for Local Intrinsic Dimensionality. SISAP 2024: 111-125 - Marek Mahrík, Matús Sikyna, Vladimir Mic, Pavel Zezula:
Towards Personalized Similarity Search for Vector Databases. SISAP 2024: 126-139 - Mbasa Joaquim Molo, Lucia Vadicamo, Emanuele Carlini, Claudio Gennaro, Richard Connor:
Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis. SISAP 2024: 140-154 - Camilla Birch Okkels, Martin Aumüller, Arthur Zimek:
On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs. SISAP 2024: 170-184 - David Procházka, Terézia Slanináková, Jozef Cernanský, Jaroslav Olha, Matej Antol, Vlastislav Dohnal:
Scaling Learned Metric Index to 100M Datasets. SISAP 2024: 266-273 - Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek:
A Dynamic Evaluation Metric for Feature Selection. SISAP 2024: 65-72 - Victor Reyes, Margarita Liarou, Stéphane Marchand-Maillet:
A Topological Evaluation Model for Manifold Learning and Embedding Techniques. SISAP 2024: 185-192 - Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf:
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers. SISAP 2024: 215-222 - Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus Jung:
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment. SISAP 2024: 97-110 - Erich Schubert:
Hierarchical Clustering Without Pairwise Distances by Incremental Similarity Search. SISAP 2024: 238-252 - Jan Sedmidubský, Nicol Dostálová, Roman Svaricek, Wolf Culemann:
ETDD70: Eye-Tracking Dataset for Classification of Dyslexia Using AI-Based Methods. SISAP 2024: 34-48 - Eric Sadit Tellez, Martin Aumüller, Vladimir Mic:
Overview of the SISAP 2024 Indexing Challenge. SISAP 2024: 255-265 - Erik Thordsen, Erich Schubert:
Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting. SISAP 2024: 274-282 - Reon Uemura, Daichi Amagata, Takahiro Hara:
An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data. SISAP 2024: 3-17
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