With the explosion of the size of digital dataset, the limiting factor for decomposition algorithms is the number of passes over the input, as the input is often stored out-of-cor...
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Set intersection is a fundamental operation in information retrieval and database systems. This paper introduces linear space data structures to represent sets such that their int...
Network querying aims to search a large network for subnetwork regions that are similar to a given query network. In this paper, we propose a novel algorithm for querying large sc...
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...