In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
Marc Davis, Michael Smith, John F. Canny, Nathan G...
We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
Abstract. The main area of work in computer music related to information systems is known as music information retrieval (MIR). Databases containing musical information can be clas...
Splitting compound words has proved to be useful in areas such as Machine Translation, Speech Recognition or Information Retrieval (IR). Furthermore, real-time IR systems (such as...
As web information systems tend to mature it has become increasingly important to have an engineered design of such systems. Hera is a design methodology that supports the develop...
Flavius Frasincar, Geert-Jan Houben, Peter Barna, ...