Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
At Leiden University, we are developing a design methodology that allows for fast mapping of nested-loop applications (e.g. DSP, Imaging, or MultiMedia) written in a subset of Matl...
Claudiu Zissulescu, Bart Kienhuis, Ed F. Depretter...
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...