While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
A large amount of information on the Web is contained in regularly structured objects, which we call data records. Such data records are important because they often present the e...
Although a considerable amount of work has been published on material classification, relatively little of it studies situations with considerable variation within each class. Man...
—In ubiquitous computing, localization of users in indoor environments is a challenging issue. On the one hand, localization data needs to have fine granularity to provide reaso...