Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
Abstract. In this paper we propose an architecture design methodology to optimize the throughput of MD4-based hash algorithms. The proposed methodology includes an iteration bound ...
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Vaudenay recently proposed a message authentication protocol which is interactive and based on short authenticated strings (SAS). We study here SASbased non-interactive message aut...