Search Results for author:
Found 2 papers, 0 papers with code
Hashing for Similarity Search: A Survey
Similarity search (nearest neighbor search) is a problem of pursuing the data items whose distances to a query item are the smallest from a large database.
Super-Bit Locality-Sensitive Hashing
Sign-random-projection locality-sensitive hashing (SRP-LSH) is a probabilistic dimension reduction method which provides an unbiased estimate of angular similarity, yet suffers from the large variance of its estimation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
