Simple strategies for recovering inner products from coarsely quantized random projections

NeurIPS 2017 Ping LiMartin Slawski

Random projections have been increasingly adopted for a diverse set of tasks in machine learning involving dimensionality reduction. One specific line of research on this topic has investigated the use of quantization subsequent to projection with the aim of additional data compression... (read more)

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