This paper describes research on the use of multiple views for modelling products and processes in the design of complex products. Single visual representations of design models o...
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Abstract. This paper describes a software architecture that allows image processing researchers to develop parallel applications in a transparent manner. The architecture’s main ...
Frank J. Seinstra, Dennis Koelma, Jan-Mark Geusebr...
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...