We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Different organizations or organizational units are likely to store and maintain different types of information about their software architectures. This inhibits effective manageme...
Remco C. de Boer, Rik Farenhorst, Patricia Lago, H...
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Recently, the publish-subscribe communication model has attracted the attention of developers as a viable alternative to traditional communication schemas, like request/reply, for...