Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Abstract. The inverse method is a generalization of resolution that can be applied to non-classical logics. We have recently shown how Andreoli's focusing strategy can be adap...
We present the Cooperative Location-sensing system (CLS), an adaptive location-sensing system that enables devices to estimate their position in a self-organizing manner without t...
We present a novel unsupervised inter-camera trajectory correspondence algorithm that does not require prior knowledge of the camera placement. The approach consists of three step...
—Body Sensor Networks can be used to continuously monitor patients’ health. However, secure association of sensors with the patient and key management for providing integrity a...