1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
—We propose a flexible framework to summarize team-sport videos that have been originally produced for broadcast purposes. The framework is able to integrate both the knowledge ...
A common problem in speech recognition for foreign accented speech is that there is not enough training data for an accent-specific or a speaker-specific recognizer. Speaker ada...
Abstract— Scheme-specific attribute selection with the wrapper and variants of forward selection is a popular attribute selection technique for classification that yields good ...
Martin Gutlein, Eibe Frank, Mark Hall, Andreas Kar...
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...