Efficient and robust metacomputing requires the decomposition of complex jobs into tasks that must be scheduled on distributed processing nodes. There are various ways of creating...
Network-centricity is a concept under consideration as a useful paradigm for complex organizational operations, combining the strengths of bureaucracy with the innovative possibil...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Abstract--Due to technology or policy constraints, communications across network domains usually require the intervention of gateways, and their proper deployment is crucial to the...
Ting He, Kang-Won Lee, Nikoletta Sofra, Kin K. Leu...
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...