We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Content adaptable applications are often used in ubiquitous computing environment, and it aims to service the adaptable contents to users. In this environment, the services are dyn...
Software Model-Checking and Testing are some of the most used techniques to analyze software systems and identify hidden faults. While software model-checking allows for an exhaust...
Antonio Bucchiarone, Henry Muccini, Patrizio Pelli...
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...