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(More research on nearest algorithms in the literature has been ) 2.090000 7.874839 m gs 1 -1 sc sh gr |
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376 |
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382 |
( nearest neighbor queries in growth- constrained metrics. These ) 2.090000 9.974839 m gs 1 -1 sc sh gr |
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383 |
(metrics satisfy the property that for any poiint q and distance d) 2.090000 10.274839 m gs 1 -1 sc sh gr |
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(kind may occur in networking applications, such as the Internet or ) 2.090000 11.174839 m gs 1 -1 sc sh gr |
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393 |
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(tractably searchedkind may occur in networking applications, such ) 2.090000 13.974839 m gs 1 -1 sc sh gr |
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(blems however, the underlying metric spaces are quite weak,) 3.740000 20.774839 m gs 1 -1 sc sh gr |
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() 3.740000 21.374839 m gs 1 -1 sc sh gr |
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489 |
(In this paper, we develop an efficient dynamic data strucutr) 3.740000 21.574839 m gs 1 -1 sc sh gr |
(In this paper, we develop an efficient dynamic data strucutr) 3.740000 21.574800 m gs 1 -1 sc sh gr |
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(e for nearest neighbor queries in growth- constrained metrics. ) 3.740000 21.774800 m gs 1 -1 sc sh gr |
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495 |
() 3.740000 22.774839 m gs 1 -1 sc sh gr |
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496 |
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( vector qualizationg applications, where ) 3.740000 23.174839 m gs 1 -1 sc sh gr |
( vector qualizationg applications, where ) 3.740000 23.174800 m gs 1 -1 sc sh gr |
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(h- dimensional vector spaces.) 3.740000 23.574839 m gs 1 -1 sc sh gr |
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(More research on nearest algorithms in the literature has bee) 3.790000 24.174800 m gs 1 -1 sc sh gr |
502 |
(n focused on the Euclidean case. In many practical search) 3.790000 24.374839 m gs 1 -1 sc sh gr |
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503 |
( problems however, the underl ying metric spaces are quite) 3.790000 24.574839 m gs 1 -1 sc sh gr |
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() 3.740000 26.398226 m gs 1 -1 sc sh gr |
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516 |
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() 20.140000 24.198226 m gs 1 -1 sc sh gr |
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521 |
(In this paper, we develop an efficient dynamic data strucutr) 20.140000 24.398226 m gs 1 -1 sc sh gr |
(In this paper, we develop an efficient dynamic data strucutr) 20.140000 24.398200 m gs 1 -1 sc sh gr |
522 |
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(e for nearest neighbor queries in growth- constrained metrics. ) 20.140000 24.598200 m gs 1 -1 sc sh gr |
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527 |
() 20.140000 25.598226 m gs 1 -1 sc sh gr |
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528 |
(cations, such as the Internet or Peer-to-peer networks, and) 20.140000 25.798226 m gs 1 -1 sc sh gr |
(cations, such as the Internet or Peer-to-peer networks, and) 20.140000 25.798200 m gs 1 -1 sc sh gr |
529 |
( vector qualizationg applications, where ) 20.140000 25.998226 m gs 1 -1 sc sh gr |
( vector qualizationg applications, where ) 20.140000 25.998200 m gs 1 -1 sc sh gr |
530 |
(feature vectors fall into low-dimensional manifolds within hig) 20.140000 26.198226 m gs 1 -1 sc sh gr |
(feature vectors fall into low-dimensional manifolds within hig) 20.140000 26.198200 m gs 1 -1 sc sh gr |
531 |
(h- dimensional vector spaces.) 20.140000 26.398226 m gs 1 -1 sc sh gr |
(h- dimensional vector spaces.) 20.140000 26.398200 m gs 1 -1 sc sh gr |
532 |
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(More research on nearest algorithms in the literature has bee) 20.140000 21.748226 m gs 1 -1 sc sh gr |
(More research on nearest algorithms in the literature has bee) 20.140000 21.748200 m gs 1 -1 sc sh gr |
534 |
(n focused on the Euclidean case. In many practical search) 20.140000 21.948226 m gs 1 -1 sc sh gr |
(n focused on the Euclidean case. In many practical search) 20.140000 21.948200 m gs 1 -1 sc sh gr |
535 |
( problems however, the underl ying metric spaces are quite) 20.140000 22.148226 m gs 1 -1 sc sh gr |
( problems however, the underl ying metric spaces are quite) 20.140000 22.148200 m gs 1 -1 sc sh gr |
536 |
( weak, whi ch motivates a search for other classes of met) 20.140000 22.348226 m gs 1 -1 sc sh gr |
( weak, whi ch motivates a search for other classes of met) 20.140000 22.348200 m gs 1 -1 sc sh gr |
537 |
(ric spaces that can be tractably searched) 20.140000 22.548226 m gs 1 -1 sc sh gr |
(ric spaces that can be tractably searched) 20.140000 22.548200 m gs 1 -1 sc sh gr |
538 |
() 20.140000 22.748226 m gs 1 -1 sc sh gr |
() 20.140000 22.748200 m gs 1 -1 sc sh gr |
|
() 20.140000 22.948226 m gs 1 -1 sc sh gr |
|
539 |
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(More research on nearest algorithms in the literature has bee) 20.090000 20.298226 m gs 1 -1 sc sh gr |
(More research on nearest algorithms in the literature has bee) 20.090000 20.298200 m gs 1 -1 sc sh gr |
541 |
(n focused on the Euclidean case. In many practical search) 20.090000 20.498226 m gs 1 -1 sc sh gr |
(n focused on the Euclidean case. In many practical search) 20.090000 20.498200 m gs 1 -1 sc sh gr |
542 |
( problems however, the underl ying metric spaces are quite) 20.090000 20.698226 m gs 1 -1 sc sh gr |
( problems however, the underl ying metric spaces are quite) 20.090000 20.698200 m gs 1 -1 sc sh gr |
543 |
( weak, whi ch motivates a search for other classes of met) 20.090000 20.898226 m gs 1 -1 sc sh gr |
( weak, whi ch motivates a search for other classes of met) 20.090000 20.898200 m gs 1 -1 sc sh gr |
544 |
(ric spaces that can be tractably searched) 20.090000 21.098226 m gs 1 -1 sc sh gr |
(ric spaces that can be tractably searched) 20.090000 21.098200 m gs 1 -1 sc sh gr |
545 |
() 20.090000 21.298226 m gs 1 -1 sc sh gr |
() 20.090000 21.298200 m gs 1 -1 sc sh gr |
|
() 20.090000 21.498226 m gs 1 -1 sc sh gr |
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(More research on nearest algor) 13.740000 4.274839 m gs 1 -1 sc sh gr |
(More research on nearest algor) 13.740000 4.274840 m gs 1 -1 sc sh gr |
575 |
(ithms in the literature has been ) 13.740000 4.574839 m gs 1 -1 sc sh gr |
(ithms in the literature has been ) 13.740000 4.574840 m gs 1 -1 sc sh gr |
576 |
(focused on the Euclidean case. ) 13.740000 4.874839 m gs 1 -1 sc sh gr |
(focused on the Euclidean case. ) 13.740000 4.874840 m gs 1 -1 sc sh gr |
577 |
(In many practical search proble) 13.740000 5.174839 m gs 1 -1 sc sh gr |
(In many practical search proble) 13.740000 5.174840 m gs 1 -1 sc sh gr |
578 |
(ms however, the underlying met) 13.740000 5.474839 m gs 1 -1 sc sh gr |
(ms however, the underlying met) 13.740000 5.474840 m gs 1 -1 sc sh gr |
579 |
(ric spaces are quite weak, which ) 13.740000 5.774839 m gs 1 -1 sc sh gr |
(ric spaces are quite weak, which ) 13.740000 5.774840 m gs 1 -1 sc sh gr |
580 |
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(motivates a search for other cla) 13.740000 6.074840 m gs 1 -1 sc sh gr |
581 |
(sses of metric spaces that can) 13.740000 6.374839 m gs 1 -1 sc sh gr |
(sses of metric spaces that can) 13.740000 6.374840 m gs 1 -1 sc sh gr |
582 |
( be tractably searched In this ) 13.740000 6.674839 m gs 1 -1 sc sh gr |
( be tractably searched In this ) 13.740000 6.674840 m gs 1 -1 sc sh gr |
583 |
(aper, we develop an efficient dyn) 13.740000 6.974839 m gs 1 -1 sc sh gr |
(aper, we develop an efficient dyn) 13.740000 6.974840 m gs 1 -1 sc sh gr |
584 |
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(amic data strucutre for neares) 13.740000 7.274840 m gs 1 -1 sc sh gr |
585 |
(t neighbor queries in growth- con) 13.740000 7.574839 m gs 1 -1 sc sh gr |
(t neighbor queries in growth- con) 13.740000 7.574840 m gs 1 -1 sc sh gr |
586 |
(strained metrics. These metrics) 13.740000 7.874839 m gs 1 -1 sc sh gr |
(strained metrics. These metrics) 13.740000 7.874840 m gs 1 -1 sc sh gr |
587 |
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( satisfy the property that for any) 13.740000 8.174840 m gs 1 -1 sc sh gr |
588 |
( poiint q and distance d the numb) 13.740000 8.474839 m gs 1 -1 sc sh gr |
( poiint q and distance d the numb) 13.740000 8.474840 m gs 1 -1 sc sh gr |
589 |
(er of points within distance 2d of) 13.740000 8.774839 m gs 1 -1 sc sh gr |
(er of points within distance 2d of) 13.740000 8.774840 m gs 1 -1 sc sh gr |
590 |
( q is most constant factor for ) 13.740000 9.074839 m gs 1 -1 sc sh gr |
( q is most constant factor for ) 13.740000 9.074840 m gs 1 -1 sc sh gr |
591 |
(arge than the numberr of points ) 13.740000 9.374839 m gs 1 -1 sc sh gr |
(arge than the numberr of points ) 13.740000 9.374840 m gs 1 -1 sc sh gr |
592 |
(within distance d. Spaces of this ) 13.740000 9.674839 m gs 1 -1 sc sh gr |
(within distance d. Spaces of this ) 13.740000 9.674840 m gs 1 -1 sc sh gr |
593 |
(kind may occur in networking ) 13.740000 9.974839 m gs 1 -1 sc sh gr |
(kind may occur in networking ) 13.740000 9.974840 m gs 1 -1 sc sh gr |
594 |
(applications, such as the Internet) 13.740000 10.274839 m gs 1 -1 sc sh gr |
(applications, such as the Internet) 13.740000 10.274840 m gs 1 -1 sc sh gr |
595 |
( or Peer-to-peer networks, and ) 13.740000 10.574839 m gs 1 -1 sc sh gr |
( or Peer-to-peer networks, and ) 13.740000 10.574840 m gs 1 -1 sc sh gr |
596 |
(vector qualizationg applications, ) 13.740000 10.874839 m gs 1 -1 sc sh gr |
(vector qualizationg applications, ) 13.740000 10.874840 m gs 1 -1 sc sh gr |
597 |
(.) 13.740000 11.174839 m gs 1 -1 sc sh gr |
(.) 13.740000 11.174840 m gs 1 -1 sc sh gr |
598 |
() 13.740000 11.474839 m gs 1 -1 sc sh gr |
() 13.740000 11.474840 m gs 1 -1 sc sh gr |
|
() 13.740000 11.774839 m gs 1 -1 sc sh gr |
|
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showpage |
showpage |