This paper proposes the use of feature weights to reveal the hierarchical nature of music audio. Feature weighting has been exploited in machine learning, but has not been applied...
This paper describes a multimodal dialogue driven system, ARCHIVUS, that allows users to access and retrieve the content of recorded and annotated multimodal meetings. We describe ...
Abstract. This paper presents a framework for corpus based multimodal research. Part of this framework is applied in the context of meeting modelling. A generic model for differen...
This paper presents an algorithm to apply the smoothing techniques described in [1] to three different Machine Learning (ML) methods for Word Sense Disambiguation (WSD). The method...
This paper extends the game-theoretic notion of internal regret to the case of on-line potfolio selection problems. New sequential investment strategies are designed to minimize th...