Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
In this article, we expose our research program in bio-affective-social computing aimed at guiding and participating to the development of multimodal socially intelligent agents in...
Over the years, the focus in noise robust speech recognition has shifted from noise robust features to model based techniques such as parallel model combination and uncertainty de...
Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, ...
— This paper describes the design and implementation of a digital ink recognition server for handwritten Japanese text. Currently, fast and accurate recognition of online handwri...
For handwritten pattern recognition, multiple classifier system has been shown to be useful in improving recognition rates. One of the most important issues to optimize a multipl...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...