Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
Accurate estimation of quality of online services is both an important and difficult problem, since a service has many interdependent quality attributes influenced by several co...
Middleware becomes increasingly important in building distributed applications. Conventional middleware systems are designed, implemented, and packaged before applications are dev...
Multimedia meeting collections, composed of unedited audio and video streams, handwritten notes, slides, and electronic documents that jointly constitute a raw record of complex h...
The diffusion of innovations has long been a research domain in IS research. Yet, there is no sound theory nor practice to fully understand the complex mechanisms behind networks ...