The impact of image feature locations in the bag-of-words model for object classification is examined. It is demonstrated that a simple variance-based method works well and offer...
— Our theoretical understanding of island models (IMs) is much worse than of single-population evolutionary algorithms (EAs). As a consequence there is relatively little guidance...
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
A system that protects the unlinkability of certain data items (e. g. identifiers of communication partners, messages, pseudonyms, transactions, votes) does not leak information t...