A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search
Approximate Nearest Neighbor Search (ANNS) is a fundamental problem in many areas of machine learning and data mining. During the past decade, numerous hashing algorithms are proposed to solve this problem. Every proposed algorithm claims to outperform Locality Sensitive Hashing (LSH), which is the most popular hashing method. However, the …