The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
While a number of User-Level Protocols have been developed to reduce the gap between the performance capabilities of the physical network and the performance actually available, a...
Pavan Balaji, Piyush Shivam, Pete Wyckoff, Dhabale...
Interoperability is one of the main issues in creating a networked system of repositories The approaches range from simply forcing one metadata standard on all participating repos...
Marek Hatala, Griff Richards, Timmy Eap, Jordan Wi...
Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are ...
UN/CEFACT’s Modelling Methodology (UMM) is used to analyze and design B2B business processes. We extend UMM by a constraint mechanism for adding business environment-specific co...