3 papers
cs.LG2025
How Should We Evaluate Data Deletion in Graph-Based ANN Indexes?
Tomohiro Yamashita, Daichi Amagata, Yusuke Matsui
Approximate Nearest Neighbor Search (ANNS) has recently gained significant attention due to its many applications, such as Retrieval-Augmented Generation. Such applications require…
cs.CV2025
RouteExtract: A Modular Pipeline for Extracting Routes from Paper Maps
Bjoern Kremser, Yusuke Matsui
Paper maps remain widely used for hiking and sightseeing because they contain curated trails and locally relevant annotations that are often missing from digital navigation applica…
cs.DS2024
FlexFlood: Efficiently Updatable Learned Multi-dimensional Index
Fuma Hidaka, Yusuke Matsui
A learned multi-dimensional index is a data structure that efficiently answers multi-dimensional orthogonal queries by understanding the data distribution using machine learning mo…