We present a new generalization bound where the use of unlabeled examples results in a better ratio between training-set size and the resulting classifier’s quality and thus red...
As a promising technology that enables ubiquitous computing and leads IT industries of next generation, sensor networks (SN) are foreseen to expand and populate the globe in such a...
Applying evolutionary methods to the generation of music and art is a relatively new field of enquiry. While there have been some important developments, it might be argued that to...
Model Transformation has become central to most software engineering activities. It refers to the process of modifying a (usually graphical) model for the purpose of analysis (by i...
Hartmut Ehrig, Karsten Ehrig, Juan de Lara, Gabrie...
We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the ...