Quantized Random Projections and Non-Linear Estimation of Cosine Similarity

NeurIPS 2016 Ping LiMichael MitzenmacherMartin Slawski

Random projections constitute a simple, yet effective technique for dimensionality reduction with applications in learning and search problems. In the present paper, we consider the problem of estimating cosine similarities when the projected data undergo scalar quantization to $b$ bits... (read more)

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