99 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Paris CitéFR24 papers
- Sorbonne Paris CitéFR11 papers
- LIP6FR10 papers
- Délégation Paris 5FR6 papers
- Université Paris DescartesFR6 papers
- University of Maryland, Baltimore CountyUS3 papers
- CEA Paris-SaclayFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- École Normale Supérieure - PSLFR2 papers
- Électricité de France (France)FR2 papers
- FORTH Institute of Computer ScienceGR2 papers
- Google (United States)US2 papers
7 papers · 1 filter
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
Qitong Wang, Themis Palpanas
A key operation for massive data series collection analysis is similarity search. According to recent studies, SAX-based indexes offer state-of-the-art performance for similarity s…
An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]
Duo Lu, Helena Caminal, Manos Chatzakis +4
Filtered Vector Search (FVS) is critical for supporting semantic search and GenAI applications in modern database systems. However, existing research most often evaluates algorithm…
DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search
Manos Chatzakis, Yannis Papakonstantinou, Themis Palpanas
Approximate Nearest Neighbor Search (ANNS) presents an inherent tradeoff between performance and recall (i.e., result quality). Each ANNS algorithm provides its own algorithm-depen…
LeaFi: Data Series Indexes on Steroids with Learned Filters
Qitong Wang, Ioana Ileana, Themis Palpanas
The ever-growing collections of data series create a pressing need for efficient similarity search, which serves as the backbone for various analytics pipelines. Recent studies hav…
DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity Search
Zeyu Wang, Qitong Wang, Peng Wang +2
Data series indexes are necessary for managing and analyzing the increasing amounts of data series collections that are nowadays available. These indexes support both exact and app…
DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search
Jiuqi Wei, Botao Peng, Xiaodong Lee +1
Locality-sensitive hashing (LSH) is a well-known solution for approximate nearest neighbor (ANN) search in high-dimensional spaces due to its robust theoretical guarantee on query…
ParIS+: Data Series Indexing on Multi-Core Architectures
Botao Peng, Panagiota Fatourou, Themis Palpanas
Data series similarity search is a core operation for several data series analysis applications across many different domains. Nevertheless, even state-of-the-art techniques cannot…