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 ...
Purely bottom-up, unsupervised segmentation of a single
image into two segments remains a challenging task for
computer vision. The co-segmentation problem is the process
of joi...
Abstract—Wireless mesh networks are popular as a costeffective means to provide broadband connectivity to large user populations. A mesh network placement provides coverage, such...
We present a lighting method for outdoor scenes with vegetation. The method is compatible with multiresolution trees generated using random L-systems. We include a sky dome model ...
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...