We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
ct 7 Modern technology is succeeding in delivering more information to people at ever faster rates. Under traditional 8 views of rational decision making where individuals should e...
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
In this paper we present an automatic facial expression recognition system that utilizes a semantic-based learning algorithm using the analytical hierarchy process (AHP). Although...
Abstract. E-Science Semantic Grids can often be thought of as dynamic collection of semantic subgrids where each subgrid is a collection of modest number of services that assembled...