CEDAR: a large scale multiprocessor

Several methods for classifier combination have been explored at CEDAR. A sequential method for combining word recognizers in handwritten phrase recognition is revisited. The approach is to take phrase images as concatenations of the constituent words ...

We present a new version of CEDAR, a taxonomic reasoner for large-scale ontologies. This extended version provides fuller support for TBox reasoning, checking consistency, and retrieving instances. CEDAR is built on top of the OSF formalism and based on ...

In this paper, we consider the problem of scheduling n deteriorating jobs with release dates on a single (batching) machine. Each job's processing time is a simple linear function of its starting time. The objective is to minimize the maximum lateness. ...