We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS...
This paper describes a real-time music-arranging system that reacts to immediate affective cues from a listener. Data was collected on the potential of certain musical dimensions ...
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...