We present a new approach to 3D scene modeling based on geometric constraints. Contrary to the existing methods, we can quickly obtain 3D scene models that respect the given const...
Marta Wilczkowiak, Gilles Trombettoni, Christophe ...
The Apriori algorithm's frequent itemset approach has become the standard approach to discovering association rules. However, the computation requirements of the frequent item...
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
This paper is motivated by the problem of poor searching efficiency in decentralized peer-to-peer file-sharing systems. We solve the searching problem by considering and modeling t...
Xuezheng Liu, Guangwen Yang, Jinfeng Hu, Ming Chen...
In this paper, we propose an extension of three incomplete depthfirst search techniques, namely depth-bounded backtrack search, credit search, and iterative broadening, towards pr...