Construct · 1 fields · 1 citations

product quantization: a standalone construct

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Machine learning

compressing vectors for nearest-neighbor search by splitting each into subvectors and quantizing each part with its own small codebook.

In machine learning, product quantization refers to compressing vectors for nearest-neighbor search by splitting each into subvectors and quantizing each part with its own small codebook. This meaning comes from Jégou (2011) in IEEE Transactions on Pattern Analysis and Machine Intelligence.[1]

Unit
Recovery means
Measured by

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Nearby constructs

dermoscopic pattern analysis1 fields · 1 citationsanchor · a standalone construct intelligence6 fields · 14 citationsjingle · one name, six constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Jégou, H., Douze, M., & Schmid, C. (2011). Product Quantization for Nearest Neighbor Search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1), 117-128. https://doi.org/10.1109/tpami.2010.57

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