Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Optimum subwindow search for object detection aims to find a subwindow so that the contained subimage is most similar to the query object. This problem can be formulated as a fou...
Senjian An, Patrick Peursum, Wanquan Liu, Svetha V...
The Distributed Constraint Optimization Problem (DCOP) is able to model a wide variety of distributed reasoning tasks that arise in multiagent systems. Unfortunately, existing met...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
We present a new polynomial-space algorithm for solving Distributed Constraint Optimization problems (DCOP). The algorithm, called NCBB, is branch and bound search with modificati...
Abstract. Although algorithms for Distributed Constraint Optimization Problems (DCOPs) have emerged as a key technique for distributed reasoning, their application faces significa...