Multiscale Quantization for Fast Similarity Search

NeurIPS 2017 Xiang WuRuiqi GuoAnanda Theertha SureshSanjiv KumarDaniel N. Holtmann-RiceDavid SimchaFelix Yu

We propose a multiscale quantization approach for fast similarity search on large, high-dimensional datasets. The key insight of the approach is that quantization methods, in particular product quantization, perform poorly when there is large variance in the norms of the data points... (read more)

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