SOFA combines the SFA symbolic Fourier representation with a MESSI-style tree to answer exact nearest-neighbor queries faster than existing exact indices, especially on high-frequency data series.
Scal- able machine learning on high-dimensional vectors: From data series to deep network embeddings,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DB 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Fast and Exact Similarity Search in less than a Blink of an Eye
SOFA combines the SFA symbolic Fourier representation with a MESSI-style tree to answer exact nearest-neighbor queries faster than existing exact indices, especially on high-frequency data series.