In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
As random access memory gets cheaper, it becomes increasingly affordable to build computers with large main memories. We consider decision support workloads within the context of...
To exploit co-occurrence patterns among features and target semantics while keeping the simplicity of the keywordbased visual search, a novel reranking methods is proposed. The ap...
Until now, systematic studies on the effectiveness of concept detectors for video search have been carried out using less than 20 detectors, or in combination with other retrieval...
Abstract. This paper is on the automation of knowledge-intensive tasks in engineering domains; here, the term “task” relates to analysis and synthesis tasks, such as diagnosis ...