The continuous sliding-window query model is used widely in data stream management systems where the focus of a continuous query is limited to a set of the most recent tuples. In ...
Thanaa M. Ghanem, Walid G. Aref, Ahmed K. Elmagarm...
We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
In this concise paper, we present the Nested Relational Sequence Model (NRSM), which is an extension of the Nested Relational Data Model in order to handle XML data. We also intro...
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...