We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of ...
Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G...
According to Parnas's information hiding principle and Baldwin and Clark's design rule theory, the key step to decomposing a system into modules is to determine the desi...
Sunny Huynh, Yuanfang Cai, Yuanyuan Song, Kevin J....
Atomicity is a desirable property for business processes to conduct transactions in Business-to-Business (B2B) collaboration. Although it is possible to reason about atomicity of ...
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, ...