Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Reliable multicast protocols can strongly simplify the design of distributed applications. However, it is hard to sustain a high multicast throughput when groups are large and het...
Matching of concepts with variables (concept patterns) is a relatively new operation that has been introduced in the context of concept description languages (description logics),...
Franz Baader, Alexander Borgida, Deborah L. McGuin...
Developing agents for simulation environments is usually the responsibility of computer experts. However, as domain experts have superior knowledge of the intended agent behavior, ...