The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Meta-design of socio-technical systems is an approach which complies with the need of integrating two different types of structures and processes: technical systems which are engi...
■ The temporal sequence of neural processes supporting figure– ground perception was investigated by recording ERPs associated withsubjectsʼ perceptions of the face–vase fi...
Abstract. Hunter and Konieczny explored the relationships between measures of inconsistency for a belief base and the minimal inconsistent subsets of that belief base in several of...