We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Abstract. We introduce a novel algorithm for actin filament segmentation in a 2D TIRFM image sequence. We treat the 2D time-lapse sequence as a 3D image volume and propose an over...
We have used the synthetic modeling method to construct a multilevel, agent oriented, in silico analogue of an in vitro experimental system for studying leukocyte rolling, activat...
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
Model Driven Engineering proposes the use of models at different levels of ion. Step by step validation of model refinements is necessary to guarantee the correctness of the final ...