论文标题
具有自动帕累托最佳性能和最低预期质量设置的邻居图上的相似性搜索基于超参数优化
Similarity search on neighbor's graphs with automatic Pareto optimal performance and minimum expected quality setups based on hyperparameter optimization
论文作者
论文摘要
该手稿引入了一种自动调整算法，用于根据邻居图和优化元启发式术搜索最近的邻居，以自动产生帕累托最佳搜索质量和搜索速度；同样的策略也用于生产达到最低质量的索引。我们的方法是通过其他最先进的相似性搜索方法来描述和基准的，表现出便利性和竞争力。
This manuscript introduces an autotuned algorithm for searching nearest neighbors based on neighbor graphs and optimization metaheuristics to produce Pareto-optimal searches for quality and search speed automatically; the same strategy is also used to produce indexes that achieve a minimum quality. Our approach is described and benchmarked with other state-of-the-art similarity search methods, showing convenience and competitiveness.
