Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
Abstract. Web services are increasingly being used in business critical environments, enabling uniform access to services provided by distinct parties. In these environments, an op...
The computing resources in a volunteer computing system are highly diverse in terms of software and hardware type, speed, availability, reliability, network connectivity, and othe...