We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
The widening gap between processor and memory speeds renders data locality optimization a very important issue in data-intensive embedded applications. Throughout the years hardwa...
Gokhan Memik, Mahmut T. Kandemir, Alok N. Choudhar...
Over the past several decades, the compiler research community has developed a number of sophisticated and powerful algorithms for a varierty of code improvements. While there are...
Bruce R. Childers, Jack W. Davidson, Mary Lou Soff...