Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning

We propose a novel inference framework for finding maximal cliques in a weighted graph that satisfy hard constraints. The constraints specify the graph nodes that must belong to the solution as well as mutual exclusions of graph nodes, i.e., sets of nodes that cannot belong to the same solution... (read more)

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