Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic f...
Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. ...
Abstract. Distributed cluster environments are becoming popular platforms for high performance computing in lieu of single-vendor supercomputers. However, the reliability and susta...
—Many registration scenarios involve aligning more than just two images. These image sets—called ensembles—are conventionally registered by choosing one image as a template, ...
—This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
Distributed Perception Networks (DPN) are a MAS approach to large scale fusion of heterogeneous and noisy information. DPN agents can establish meaningful information filtering c...