Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
This paper describes a new methodology and associated theoretical analysis for rapid and accurate extraction of activation regions from functional MRI data. Most fMRI data analysi...
Aarti Singh, Rebecca Willett, Robert Nowak, Zachar...
—We propose a new approach to evaluate the ultimate performance limit of time synchronization in wireless sensor networks based on the estimation theory. In particular the lower ...
Abstract. In this paper, we describe an opinion analysis system using domainspecific lexical knowledge in Korean economic news. We tested our hypothesis that such domain-specific k...