A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
As the Internet population grows, not only computers but household electric appliances, such as VCRs and a refrigerators, will become connected to a network. The demand of connecti...
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...
SystemCoDesigner is an ESL tool developed at the University of Erlangen-Nuremberg, Germany. SystemCoDesigner offers a fast design space exploration and rapid prototyping of behavi...
Christian Haubelt, Thomas Schlichter, Joachim Kein...
The bidirectional texture function (BTF) describes texture appearance variations due to varying illumination and viewing conditions. This function is acquired by large number of m...