Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
Abstract. The unpredictable run-time configurations of dynamic, datadriven application systems require flexible simulation components that can adapt to changes in the number of i...
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
: In the fourth generation wireless networks, it is believed that wireless LANs (WLANs) will interwork with cellular systems to provide fast speed data services. The integration of...
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...