Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
In thispaper we introduce a new class of dynamicgraphalgorithmscalledquasi-fully dynamic algorithms,which are much more general than the backtracking algorithmsand are much simple...
More and more companies use "process aware" information systems to make their business processes more efficient. To do this, workflow definitions must be formulated in a ...
Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...