We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Formalisms and axiomatic theories are designed to support reasoning, they are often intended with a preferred interpretation and a targeted ontology. Questions of proper interpret...
Speech dereverberation is desirable with a view to achieving, for example, robust speech recognition in the real world. However, it is still a challenging problem, especially when...
Along with the variation of the market circumstance the automotive industry has to be confronted with various challenges. In order to satisfy the customers' requirement of Imp...
Vehicle position is one of the most valuable pieces of information in a Vehicular Adhoc NETwork (VANET). The main contribution of this work is a novel approach to enhancing positi...