Target classification fusion problem in a distributed, wireless sensor network is investigated. We propose a distance-based decision fusion scheme exploiting the relationship betw...
This paper extends the concept of qualifying types by describing how their implementations can include not only bracket methods which are applied when a method of a target object ...
James Leslie Keedy, Klaus Espenlaub, Christian Hei...
Loop vectorization, a key feature exploited to obtain high performance on Single Instruction Multiple Data (SIMD) vector architectures, is significantly hindered by irregular memo...
Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrig...
Abstract. The problem of dealing with inconsistent data while integrating XML data from different sources is an important task, necessary to improve data integration quality. Typic...
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...