Abstract. Database systems have been vital for all forms of data processing for a long time. In recent years, the amount of processed data has been growing dramatically, even in sm...
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
Due to the ever-widening performance gap between processors and disks, I/O operations tend to become the major performance bottleneck of data-intensive applications on modern clus...
Yifeng Zhu, Hong Jiang, Xiao Qin, Dan Feng, David ...
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...