Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Abstract—Network applications often require large data storage resources, fast queries, and frequent updates. Hash tables support these operations with low costs, yet they cannot...
This paper presents a vectorized algorithm for entering data into a hash table. A program that enters multiple data could not be executed on vector processors by conventional vect...
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
—Increasingly larger data sets are being stored in networked architectures. Many of the available data structures are not easily amenable to parallel realizations. Hashing scheme...