Recently, multimodal and affective technologies have been adopted to support expressive and engaging interaction, bringing up a plethora of new research questions. Among the chall...
Lassi A. Liikkanen, Giulio Jacucci, Eero Huvio, To...
Abstract. In this paper, we present a framework for managing heterogeneous, multimodal digitized music collections containing visual music representations (scanned sheet music) as ...
Frank Kurth, David Damm, Christian Fremerey, Meina...
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Our aim is to point out the benefits that can be derived from research advances in the implementation of concepts such as ambient intelligence and ubiquitous/pervasive computing f...
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
Stjepan Rajko, Gang Qian, Todd Ingalls, Jodi James