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ORCID16th SISAP 2023, A Coruña, Spain
- Oscar Pedreira
, Vladimir Estivill-Castro:
Similarity Search and Applications - 16th International Conference, SISAP 2023, A Coruña, Spain, October 9-11, 2023, Proceedings. Lecture Notes in Computer Science 14289, Springer 2023, ISBN 978-3-031-46993-0
Research Track
- Cole Foster, Edgar Chávez, Benjamin B. Kimia:
Finding HSP Neighbors via an Exact, Hierarchical Approach. 3-18 - Ryota Tomoda, Hisashi Koga:
Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash. 19-32 - Edgar Chávez, Stéphane Marchand-Maillet, Adolfo J. Quiroz:
Mutual k-Nearest Neighbor Graph for Data Analysis: Application to Metric Space Clustering. 33-40 - Erik Thordsen, Erich Schubert:
An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search. 41-55 - Conrado Martínez, Alfredo Viola, Jun Wang:
Unbiased Similarity Estimators Using Samples. 56-63 - Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli, Lorenzo Molfetta:
Retrieve-and-Rank End-to-End Summarization of Biomedical Studies. 64-78 - Elena Flondor, Marc Frîncu:
Fine-Grained Categorization of Mobile Applications Through Semantic Similarity Techniques for Apps Classification. 79-87 - Shoshana Marcus, Dina Sokol, Sarah Zelikovitz:
Runs of Side-Sharing Tandems in Rectangular Arrays. 88-102 - Edgar Chávez, Eric Sadit Tellez:
Turbo Scan: Fast Sequential Nearest Neighbor Search in High Dimensions. 103-110 - Jaroslav Hlavác, Martin Kopp, Jan Kohout, Tomás Skopal:
Class Representatives Selection in Non-metric Spaces for Nearest Prototype Classification. 111-124 - Matheus A. L. Matiazzo, Vitor de Castro-Silva, Rafael Seidi Oyamada, Daniel S. Kaster:
The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval. 125-132 - Omar Shahbaz Khan, Martin Aumüller, Björn Þór Jónsson:
Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback. 133-147 - Andreas Lang, Erich Schubert:
Accelerating k-Means Clustering with Cover Trees. 148-162 - Gylfi Þór Guðmundsson, Björn Þór Jónsson:
Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Quality. 163-170 - Rameshwar Pratap, Raghav Kulkarni:
Minwise-Independent Permutations with Insertion and Deletion of Features. 171-184 - Félix Iglesias, Tanja Zseby, Alexander Hartl, Arthur Zimek:
SDOclust: Clustering with Sparse Data Observers. 185-199 - Martin Aumüller, Matteo Ceccarello:
Solving k-Closest Pairs in High-Dimensional Data. 200-214 - Fabio Carrara, Claudio Gennaro, Lucia Vadicamo, Giuseppe Amato:
Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval. 215-222 - Richard Connor, Alan Dearle, David Morrison, Edgar Chávez:
Similarity Search with Multiple-Object Queries. 223-237 - Yasin N. Silva, Juan Martinez, Pedro Castro Cea, Humberto Luiz Razente, Maria Camila Nardini Barioni:
Diversity Similarity Join for Big Data. 238-252
Indexing Challenge
- Eric Sadit Tellez, Martin Aumüller, Edgar Chávez:
Overview of the SISAP 2023 Indexing Challenge. 255-264 - Christoffer J. W. Romild, Thomas H. Schauser, Joachim Alexander Borup:
Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, and Batch Extraction. 265-272 - Yutaro Oguri, Yusuke Matsui:
General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo. 273-281 - Terézia Slanináková, David Procházka, Matej Antol, Jaroslav Olha, Vlastislav Dohnal:
SISAP 2023 Indexing Challenge - Learned Metric Index. 282-290 - Cole Foster, Benjamin B. Kimia:
Computational Enhancements of HNSW Targeted to Very Large Datasets. 291-299 - Vladimir Mic, Jan Sedmidubský, Pavel Zezula:
CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors. 300-308
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