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- W2006820715 abstract "The problem of object recognition can be formulated as matching feature sets of different objects. Segmentation errors and scale difference result in many-to-many matching of feature sets, rather than one-to-one. This paper extends a previous algorithm on many-to-many graph matching. The proposed work represents graphs, which correspond to objects, isometrically in the geometric space under the l 1 norm. Empirical evaluation of the algorithm on a set of recognition trails, including a comparison with the previous approach, demonstrates the efficacy of the overall framework." @default.
- W2006820715 created "2016-06-24" @default.
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- W2006820715 date "2009-01-01" @default.
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- W2006820715 title "Many-to-Many Matching under the l 1 Norm" @default.
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- W2006820715 doi "https://doi.org/10.1007/978-3-642-04146-4_84" @default.
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