Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
: Recent advances in gene sequencing have provided complete sequence information for a number of genomes and as a result the amount of data in the sequence databases is growing at ...
The increasing number of personal digital photos on the Web makes their management, retrieval and visualization a difficult task. To annotate these images using Semantic Web techno...
Abstract. Medical reports are predominantly written in natural language; as such they are not computer-accessible. A common way to make medical narrative accessible to automated sy...
Janneke van der Zwaan, Erik F. Tjong Kim Sang, Maa...