—In the field of human robot interaction (HRI), providing robot with emotions and psychology like human can be useful to achieve natural interaction. Previous HRI research focuse...
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
We present a biologically motivated architecture for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The system...
In this paper, an experimental comparison between fixed and trained fusion rules for multimodal personal identity verification is reported. We focused on the behaviour of the consi...
Fabio Roli, Josef Kittler, Giorgio Fumera, Daniele...
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...