"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...