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Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
Vector data is prevalent across business and scientific applications, and its popularity is
growing with the proliferation of learned embeddings. Vector data collections often reach …
growing with the proliferation of learned embeddings. Vector data collections often reach …
LeaFi: Data Series Indexes on Steroids with Learned Filters
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 have …
search, which serves as the backbone for various analytics pipelines. Recent studies have …
Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes
Graph-based indexes have been widely employed to accelerate approximate similarity
search of high-dimensional vectors. However, the performance of graph indexes to answer …
search of high-dimensional vectors. However, the performance of graph indexes to answer …
Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search
Approximate Nearest Neighbor (ANN) search in high-dimensional Euclidean spaces is a
fundamental problem with a wide range of applications. However, there is currently no ANN …
fundamental problem with a wide range of applications. However, there is currently no ANN …
-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes
Graph-based indexes have been widely employed to accelerate approximate similarity
search of high-dimensional vectors. However, the performance of graph indexes to answer …
search of high-dimensional vectors. However, the performance of graph indexes to answer …
Pattern detection and shape analysis for physiological timeseries
T Germain - 2024 - theses.hal.science
Time series are prevalent in biomedical applications where they frequently display recurring
or abnormal patterns that hold significant information for statistical analysis. A notable …
or abnormal patterns that hold significant information for statistical analysis. A notable …