Conference Program - SISAP 2024
17th International Conference on Similarity Search and Applications
Providence, RI, USA, Nov. 4th-6th, 2024
Presentations:
- Full Paper: 20' for presentation + 10' for Q&A
- Short/Demo: 15' for presentation + 5' for Q&A
- Challenge: 13' for presentation + 5' for Q&A
Saturday, November 2nd
| 17:30-21:00 |
WaterFire |
Sunday, November 3rd
| 10:00-18:00 |
Newport OutingMeet at the Hampton Inn Downtown at 10:00. A trolley will transport the participants to/from Newport. |
Monday, November 4th
| 08:00 |
Poster PickupThose who printed posters at Fedex may pickup starting at 08:00. |
| 08:30-09:00 |
RegistrationRegistration desk is open |
| 09:00-09:15 |
OpeningChairs: Benjamin Kimia (Brown University, USA) and Edgar Chávez (CICESE, México) |
| 09:15-10:45 |
Keynote 1: Graph-based algorithms for similarity search: challenges and opportunitiesPiotr Indyk (MIT, USA) |
| 10:45-11:00 | Coffee Break |
| 11:00-12:00 |
Session 1: Approximate Nearest Neighbor |
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Reon Uemura, Daichi Amagata, and Takahiro Hara
An Efficient Framework for Approximate Nearest Neighbor Search on High-dimensional Multi-metric Data |
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Malte Helin Johnsen and Martin Aumüller
An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search |
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| 12:00-13:00 | Lunch and Poster Session |
| 13:00-15:30 |
Session 2: Short Papers |
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Richard Connor, Alan Dearle, and Ben Claydon
Scalable Polyadic Queries |
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Ben Claydon, Richard Connor, Alan Dearle, and Lucia Vadicamo
Demonstrating the Efficacy of Polyadic Queries |
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Muhammad Rajabinasab, Anton Lautrup, Tobias Hyrup, and Arthur Zimek
A Dynamic Evaluation Metric for Feature Selection |
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Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, and Christian Beecks
Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series |
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Félix Iglesias Vázquez, Conrado Martínez, and Tanja Zseby
Impact of the Neighborhood Parameter on Outlier Detection Algorithms |
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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 |
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Victor Reyes, Margarita Liarou, and Stephane Marchand-Maillet
A Topological Evaluation Model for Manifold Learning and Embedding Techniques |
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| 15:30-16:00 | Coffee Break |
| 16:00-17:30 |
Session 3: Similarity Models |
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Konstantin Schall, Kai Uwe Barthel, Nico Hezel, and Klaus Jung
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment |
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Mbasa Molo, Lucia Vadicamo, Emanuele Carlini, Claudio Gennaro, and Richard Connor
Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis |
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Miriama Jánošová, Petra Budikova, and Jan Sedmidubsky
Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos |
Tuesday, November 5th
| 08:30-09:00 |
RegistrationRegistration desk is open |
| 09:00-10:30 |
Keynote 2: Embeddings of and for the mindBradley C. Love (University College London) |
| 10:30-11:00 | Coffee Break |
| 11:00-12:30 |
Session 4: Clustering |
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Miriama Jánošová, Andreas Lang, Petra Budíková, Erich Schubert, and Vlastislav Dohnal
Advancing the PAM Algorithm to Semi-Supervised k-Medoids Clustering |
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Camilla Birch Okkels, Martin Aumüller, and Arthur Zimek
On the Design of Scalable Outlier Detection Methods using Approximate Nearest Neighbor Graphs |
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Erich Schubert
Hierarchical Clustering without Pairwise Distances by Incremental Similarity Search |
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| 12:30-13:30 | Lunch and Poster Session |
| 13:30-15:00 |
Session 5: Indexing Challenge |
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Martin Aumüller and Vladimir Mic
Introduction: the SISAP 2024 Indexing Challenge |
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David Procházka, Terézia Slanináková, Jozef Čerňanský, Jaroslav Oľha, Matej Antol, and Vlastislav Dohnal
Scaling Learned Metric Index to 100M Datasets |
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Erik Thordsen and Erich Schubert
Grouping Sketches to Index High-Dimensional Data in a Resource Limited Setting |
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Nico Hezel, Bruno Schilling, Kai Barthel, Konstantin Schall, and Klaus Jung
Adapting the Exploration Graph for high throughput in low recall regimes |
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Cole Foster, Edgar Chávez, and Benjamin Kimia
Top-Down Construction of Locally Monotonic Graphs for Similarity Search |
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Martin Aumüller and Vladimir Mic
Debate: Future of the SISAP Indexing Challenge |
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| 15:00-15:30 | Coffee Break |
| 15:30-16:30 |
Session 6: Applications of Similarity Search |
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Andrej Cernek, Jan Sedmidubsky, and Petra Budikova
REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods |
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Jan Sedmidubsky, Nicol Dostálová, Roman Švaříček, and Wolf Culemann
ETDD70: Eye-Tracking Dataset for Classification of Dyslexia using AI-based Methods |
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| 16:30-17:30 |
Panel Discussion
Piotr Indyk, Bradley C. Love, Sanjiv Kumar
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| 18:00 |
Banquet Dinner at Red Stripe15 minute walk from the conference venue |
Wednesday, November 6th
| 08:30-09:00 |
RegistrationRegistration desk is open |
| 09:00-10:30 |
Keynote 3: New Learning Objectives for Massive Scale Similarity SearchSanjiv Kumar (Google Research) |
| 10:30-11:00 | Coffee Break |
| 11:00-12:30 |
Session 7: Foundations of Similarity Search |
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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 |
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Marek Mahrík, Matúš Šikyňa, Vladimir Mic, and Pavel Zezula
Towards Personalized Similarity Search for Vector Databases |
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Michael E. Houle, Vincent Oria, and Hamideh Sabaei
Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration |
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| 12:30-12:45 |
Closing and Announcement of Next SISAP Venue |
| 12:45-14:00 | Lunch |