The ability to automatically detect `visually interesting' regions in an image has many practical applications especially in the design of active machine vision systems. This...
Umesh Rajashekar, Lawrence K. Cormack, Alan C. Bov...
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...
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Abstract. Scientists and conservators, involved in cultural heritage documentation management, have to furnish not only qualitative but also quantitative description of the assessm...
This paper describes the core theories and enabling technologies developed for molecular imaging at the BMIT Group and the CMSP Center over the last 10 years, in the areas of dyna...