Abstract Observing behaviors of protein pathways and genetic networks under various environments in living cells is essential for unraveling disease and developing drugs. For that ...
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
— 1 In this paper, training-based transmissions over a priori unknown Rayleigh block fading channels are considered. The input signals are assumed to be subject to peak power con...
A new blind subspace-based channel estimation technique is proposed for direct-sequence code-division multiple access (DS-CDMA) systems operating in the presence of unknown wide-se...