There is a growing need, both for use within corporate intranets and within the rapidly evolving World Wide Web, to develop tools that are able to retrieve relevant textual inform...
L. J. Brown, Mariano P. Consens, Ian J. Davis, Chr...
End-to-end encryption schemes that support operations over ciphertext are of utmost importance for commercial private party Wireless Sensor Network implementations to become meani...
Modern organizations face increasingly complex information management requirements. A combination of commercial needs, legal liability and regulatory imperatives has created a pat...
Qing Zhang, John McCullough, Justin Ma, Nabil Sche...
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...