Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
In a parallel system with multiple CPUs, one of the key problems is to assign loop iterations to processors. This problem, known as the loop scheduling problem, has been studied i...
Mahmut T. Kandemir, Taylan Yemliha, Seung Woo Son,...
After the generation of multimedia data turned digital, an explosion of interest in their data storage, retrieval, and processing has drastically increased. This includes videos, ...
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
: Measuring ellipticity is an important area of computer vision systems. Most existing ellipticity measures are area based and cannot be easily applied to point sets such as extrac...