Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/t...
This paper presents a conceptual framework for understanding knowledge integration in distributed networks of practice. The framework builds upon Grant’s knowledge-based theory ...
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Current object-oriented approaches to distributed programs may be criticized in several respects. First, method calls are generally synchronous, which leads to much waiting in dis...
Most of today’s distributed computing systems in the field do not support the migration of execution entities among computing nodes during runtime. The relatively static associa...