In this paper, we introduce two new formulations for multi-class multi-kernel relevance vector machines (mRVMs) that explicitly lead to sparse solutions, both in samples and in nu...
Theodoros Damoulas, Yiming Ying, Mark A. Girolami,...
Abstract. Despite recent improvements in wireless network protocols and the manufacturing of better, more performant mobile devices, developing mobile applications and services sti...
The performance of automatic speech recognition (ASR) systems in the presence of noise is an area that has attracted a lot of research interest. Additive noise from interfering no...
Abstract. The aim of this paper is to explore some features of the functional test generation problem, and on the basis of the gained experience, to propose a practical method for ...
Eduardas Bareisa, Vacius Jusas, Kestutis Motiejuna...
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...