We study the forward and backward substitution phases of a sparse multifrontal factorization. These phases are often neglected in papers on sparse direct factorization but, in man...
Patrick Amestoy, Iain S. Duff, Abdou Guermouche, T...
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
This paper describes a new approximate maximum-likelihood (ML) MIMO detection approach by studying a Lagrangian dual relaxation (LDR) of ML. Unlike many existing relaxed ML method...
This paper presents a method for mitigating the impact of reverberation upon speaker identification. In particular, two reverberation mitigation techniques were studied: one that ...
Catherine M. Vannicola, Brett Y. Smolenski, Brando...
A plethora of recent work leverages historical data to help practitioners better prioritize their software quality assurance efforts. However, the adoption of this prior work in p...