Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
A novel progressive geometry compression scheme is presented in the paper. In this scheme a mesh is represented as a base mesh followed by some groups of vertex split operations us...
The PowerPC 620TM microprocessor1 is the most recent and performance leading member of the PowerPCTM family. The 64-bit PowerPC 620 microprocessor employs a two-phase branch predi...
Creating video recordings of events such as lectures or meetings is increasingly inexpensive and easy. However, reviewing the content of such video may be time-consuming and difï¬...
We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...