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- aggregation classification "P1".
- aggregation creator B47842.
- aggregation creator B47843.
- aggregation creator B47844.
- aggregation creator person.
- aggregation date "2010".
- aggregation hasFormat 5345101.bibtex.
- aggregation hasFormat 5345101.csv.
- aggregation hasFormat 5345101.dc.
- aggregation hasFormat 5345101.didl.
- aggregation hasFormat 5345101.doc.
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- aggregation hasFormat 5345101.mods.
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- aggregation hasFormat 5345101.txt.
- aggregation hasFormat 5345101.xls.
- aggregation hasFormat 5345101.yaml.
- aggregation isPartOf urn:isbn:9780898717013.
- aggregation language "eng".
- aggregation publisher "SIAM".
- aggregation subject "Business and Economics".
- aggregation title "The focus of attention problem".
- aggregation abstract "We consider the problem of assigning sensors to track targets so as to minimize the expected error in the resulting estimation for target locations The so-called Focus of Attention problem deals with the special case where every target is tracked by one pair of range sensors . We provide a complete complexity and approximability analysis of the Focus Of Attention problem. We establish its strong NP-hardness, and we construct a polynomial time approximation scheme for it.".
- aggregation authorList BK121325.
- aggregation endPage "317".
- aggregation startPage "312".
- aggregation volume "135".
- aggregation isDescribedBy 5345101.
- aggregation similarTo LU-5345101.