Practical applications are generally interdisciplinary in nature. The technology is well matured for addressing individual discipline applications and not for interdisciplinary ap...
Matrix fields are important in many applications since they are the adequate means to describe anisotropic behaviour in image processing models and physical measurements. A promin...
Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricti...
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
The article explores Open Access in the context of recent contributions in communication and public relations theory, notably Bakhtinian dialogism. Increasingly since the 1960s co...