We consider the problem of estimating CPU (distance computations) and I/O costs for processing range and k-nearest neighbors queries over metric spaces. Unlike the specific case ...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Curating information from the literature for storage in databases is a crucial task in biological research, and many groups assign a particular person or team to that process. We ...
Many interactive image segmentation approaches use an objective function which includes appearance models as an unknown variable. Since the resulting optimization problem is NP-har...
Business Continuity Management (BCM) is a process to manage risks, emergencies, and recovery plans of an organization during a crisis. It results in a document called Business Cont...