In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
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...
Typical speech enhancement methods, based on the short-time Fourier analysis-modification-synthesis (AMS) framework, modify only the magnitude spectrum and keep the phase spectru...
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...