We present a new and computationally efficient scheme for classifying signals into a fixed number of known classes. We model classes as subspaces in which the corresponding data...
In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, B...
: Light scattering studies are done by researchers of various scientific areas. As the calculation of the scattering behavior by small particles is rather complex, corresponding pr...
Children spend significant amounts of time on the Internet. Recent studies showed, that during these periods they are often not under adult supervision. This work presents an auto...
Carsten Eickhoff, Pavel Serdyukov, Arjen P. de Vri...
The automatic tuning of the parameters of algorithms and automatic selection of algorithms has received a lot of attention recently. One possible approach is the use of machine lea...