With the development of more expressive description logics (DLs) for the Web Ontology Language OWL the question arises how we can properly deal with the high computational complexi...
Tuvshintur Tserendorj, Stephan Grimm, Pascal Hitzl...
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Currently, most of the watermarking algorithms for H.264/AVC video coding standard are encoder-based due to their high perceptual quality. However, for the compressed video, they ...
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...