A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Copyright 2005 IEEE. Published in the 2005 International Conference on Advanced Video and Signal-based Surveillance (AVSS-2005), September 15-16, 2005, Como, Italy. Personal use o...
Abstract. We present in this paper a new model for representing probabilistic information in a semi-structured (XML) database, based on the use of probabilistic event variables. Th...
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
The Resource Space Model is a new semantic data model for managing various resources. Based on the model, this paper proposes a view mechanism for finding and reusing legacy Resou...