We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Manual categorisation of documents is a time-consuming task that has been significantly alleviated with the deployment of automatic and machine-aided text categorisation systems. ...
Image annotation, the task of automatically generating description words for a picture, is a key component in various image search and retrieval applications. Creating image datab...
This paper focuses on developing a haptic rendering technique for cellular manipulation using image processing techniques and physically based models. The interaction forces betwee...
— Analytical communication performance models play an important role in prediction of the execution time of parallel applications on multiprocessors. Apart from designing such a ...