Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these propo...
Abstract—During software development, design rules and contracts in the source code are often encoded through regularities, such as API usage protocols, coding idioms and naming ...
Angela Lozano, Andy Kellens, Kim Mens, Gabriela Ar...
We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical popula...
Regularized Spline with Tension (RST) is an accurate, flexible and efficient method for multivariate interpolation of scattered data. This study evaluates its capabilities to inte...
Jaroslav Hofierka, Juraj Parajka, Helena Mit&aacut...
The concept of “Space-Time Sparsity” (STS) penalization is introduced for solving the magnetoencephalography (MEG) inverse problem. The STS approach assumes that events of int...
Andrew K. Bolstad, Barry D. Van Veen, Robert D. No...