Determination of data dependences is a task typically performed with high-level language source code in today's optimizing and parallelizing compilers. Very little work has b...
Wolfram Amme, Peter Braun, Eberhard Zehendner, Fra...
The rapidly expanding diversity of technology available at the nanoscale is disrupting the existing transistorcentric microelectronics design paradigm, resulting in nearly decade-l...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
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...
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...