modules can be handled in constraint graphs efficiently. This Floorplan area minimization is an important problem because many modules have shape flexibilities during the floorplan...
Fung Yu Young, Chris C. N. Chu, W. S. Luk, Y. C. W...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are NPhard. To overcom...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
— This work considers the problem of hosting multiple third-party Internet services in a cost-effective manner so as to maximize a provider’s business objective. For this purpo...
Bruno D. Abrahao, Virgilio Almeida, Jussara M. Alm...