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Affinity Propagation for Class Exemplar Mining
[chapter]
2010
Lecture Notes in Computer Science
This paper focusses on the problem of locating object class exemplars from a large corpus of images using affinity propagation. We use attributed relational graphs to represent groups of local invariant features together with their spatial arrangement. Rather than mining exemplars from the entire graph corpus, we prefer to cluster object specific exemplars. Firstly, we obtain an object specific cluster of graphs using a similarity propagation based graph clustering (SPGC) method. Here a SOM
doi:10.1007/978-3-642-14980-1_18
fatcat:lluxbbdkbvazpdfg6qjj3be4ou