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September 30, 2025Open Access

Probabilistic Kernel Function for Fast Angle Testing

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Authors

KLKejing LuCXChuan XiaoYIYoshiharu Ishikawa

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Overview

This analysis demonstrates improved angle testing and ANNS performance using new deterministic kernel functions.

Key Points

  • The proposed probabilistic kernel functions show significantly improved angle testing capabilities.
  • Using these functions results in a query-per-second throughput increase of 2.5X to 3X over existing methods.
  • Traditional methods rely on probabilistic approaches, but this study introduces a deterministic structure for projections.
  • This approach eliminates the need for asymptotic assumptions typical in Gaussian-based methods.

Cite This Study

Lu et al. (2025) studied this question.

synapsesocial.com/papers/68dc12cc8a7d58c25ebb0b57https://doi.org/10.48550/arxiv.2505.20274
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