/[gzz]/gzz/Documentation/misc/hemppah-progradu/xanadu_model.eps
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revision 1.1 by hemppah, Fri Feb 14 12:04:12 2003 UTC revision 1.2 by hemppah, Fri Feb 21 12:49:04 2003 UTC
# Line 1  Line 1 
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371  (feature vectors  fall into low-dimensional manifolds within high-) 2.100000 7.000000 m gs 1 -1 sc sh gr  (feature vectors  fall into low-dimensional manifolds within high-) 2.100000 7.000000 m gs 1 -1 sc sh gr
372  (dimensional vector spaces.) 2.100000 7.300000 m gs 1 -1 sc sh gr  (dimensional vector spaces.) 2.100000 7.300000 m gs 1 -1 sc sh gr
373  () 2.100000 7.600000 m gs 1 -1 sc sh gr  () 2.100000 7.600000 m gs 1 -1 sc sh gr
 () 2.100000 7.900000 m gs 1 -1 sc sh gr  
374  /Helvetica-latin1 ff 0.300000 scf sf  /Helvetica-latin1 ff 0.300000 scf sf
375  (More research on nearest algorithms  in the literature has been ) 2.090000 7.874839 m gs 1 -1 sc sh gr  (More research on nearest algorithms  in the literature has been ) 2.090000 7.874840 m gs 1 -1 sc sh gr
376  (focused on the  Euclidean case. In many practical search problems) 2.090000 8.174839 m gs 1 -1 sc sh gr  (focused on the  Euclidean case. In many practical search problems) 2.090000 8.174840 m gs 1 -1 sc sh gr
377  (however, the underlying metric spaces are quite weak, which motivates) 2.090000 8.474839 m gs 1 -1 sc sh gr  (however, the underlying metric spaces are quite weak, which motivates) 2.090000 8.474840 m gs 1 -1 sc sh gr
378  (a search for other classes of metric spaces that can be tractably ) 2.090000 8.774839 m gs 1 -1 sc sh gr  (a search for other classes of metric spaces that can be tractably ) 2.090000 8.774840 m gs 1 -1 sc sh gr
379  (searched) 2.090000 9.074839 m gs 1 -1 sc sh gr  (searched) 2.090000 9.074840 m gs 1 -1 sc sh gr
380  () 2.090000 9.374839 m gs 1 -1 sc sh gr  () 2.090000 9.374840 m gs 1 -1 sc sh gr
381  (In this paper, we develop an efficient dynamic data strucutre for) 2.090000 9.674839 m gs 1 -1 sc sh gr  (In this paper, we develop an efficient dynamic data strucutre for) 2.090000 9.674840 m gs 1 -1 sc sh gr
382  ( nearest neighbor queries in growth- constrained metrics. These ) 2.090000 9.974839 m gs 1 -1 sc sh gr  ( nearest neighbor queries in growth- constrained metrics. These ) 2.090000 9.974840 m gs 1 -1 sc sh gr
383  (metrics satisfy the property that for any poiint q and distance d) 2.090000 10.274839 m gs 1 -1 sc sh gr  (metrics satisfy the property that for any poiint q and distance d) 2.090000 10.274840 m gs 1 -1 sc sh gr
384  (the number of points within distance 2d of q is most constant factor) 2.090000 10.574839 m gs 1 -1 sc sh gr  (the number of points within distance 2d of q is most constant factor) 2.090000 10.574840 m gs 1 -1 sc sh gr
385  ( for large than the numberr of points within distance d. Spaces of this ) 2.090000 10.874839 m gs 1 -1 sc sh gr  ( for large than the numberr of points within distance d. Spaces of this ) 2.090000 10.874840 m gs 1 -1 sc sh gr
386  (kind  may occur in networking applications, such as the Internet or ) 2.090000 11.174839 m gs 1 -1 sc sh gr  (kind  may occur in networking applications, such as the Internet or ) 2.090000 11.174840 m gs 1 -1 sc sh gr
387  (Peer-to-peer networks, and  vector  qualizationg applications, where ) 2.090000 11.474839 m gs 1 -1 sc sh gr  (Peer-to-peer networks, and  vector  qualizationg applications, where ) 2.090000 11.474840 m gs 1 -1 sc sh gr
388  (feature vectors  fall into low-dimensional manifolds within high-) 2.090000 11.774839 m gs 1 -1 sc sh gr  (feature vectors  fall into low-dimensional manifolds within high-) 2.090000 11.774840 m gs 1 -1 sc sh gr
389  (dimensional vector spaces.) 2.090000 12.074839 m gs 1 -1 sc sh gr  (dimensional vector spaces.) 2.090000 12.074840 m gs 1 -1 sc sh gr
390  () 2.090000 12.374839 m gs 1 -1 sc sh gr  () 2.090000 12.374840 m gs 1 -1 sc sh gr
 () 2.090000 12.674839 m gs 1 -1 sc sh gr  
391  /Helvetica-latin1 ff 0.300000 scf sf  /Helvetica-latin1 ff 0.300000 scf sf
392  (More research on nearest algorithms  in the literature has been ) 2.090000 12.774839 m gs 1 -1 sc sh gr  (More research on nearest algorithms  in the literature has been ) 2.090000 12.774800 m gs 1 -1 sc sh gr
393  (focused on the  Euclidean case. In many practical search problems) 2.090000 13.074839 m gs 1 -1 sc sh gr  (focused on the  Euclidean case. In many practical search problems) 2.090000 13.074800 m gs 1 -1 sc sh gr
394  (however, the underlying metric spaces are quite weak, which ) 2.090000 13.374839 m gs 1 -1 sc sh gr  (however, the underlying metric spaces are quite weak, which ) 2.090000 13.374800 m gs 1 -1 sc sh gr
395  (motivates a search for other classes of metric spaces that can be ) 2.090000 13.674839 m gs 1 -1 sc sh gr  (motivates a search for other classes of metric spaces that can be ) 2.090000 13.674800 m gs 1 -1 sc sh gr
396  (tractably  searchedkind  may occur in networking applications, such ) 2.090000 13.974839 m gs 1 -1 sc sh gr  (tractably  searchedkind  may occur in networking applications, such ) 2.090000 13.974800 m gs 1 -1 sc sh gr
397  (as the Internet or  Peer-to-peer networks, and  vector  qualizationg ) 2.090000 14.274839 m gs 1 -1 sc sh gr  (as the Internet or  Peer-to-peer networks, and  vector  qualizationg ) 2.090000 14.274800 m gs 1 -1 sc sh gr
398  (applications, where  feature vectors  fall into low-dimensional manifolds ) 2.090000 14.574839 m gs 1 -1 sc sh gr  (applications, where  feature vectors  fall into low-dimensional manifolds ) 2.090000 14.574800 m gs 1 -1 sc sh gr
399  (within high- dimensional vector spaces.) 2.090000 14.874839 m gs 1 -1 sc sh gr  (within high- dimensional vector spaces.) 2.090000 14.874800 m gs 1 -1 sc sh gr
400  () 2.090000 15.174839 m gs 1 -1 sc sh gr  () 2.090000 15.174800 m gs 1 -1 sc sh gr
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417  (.) 23.390000 5.597500 m gs 1 -1 sc sh gr  (.) 23.390000 5.597500 m gs 1 -1 sc sh gr
418  () 23.390000 5.897500 m gs 1 -1 sc sh gr  () 23.390000 5.897500 m gs 1 -1 sc sh gr
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483  (More research on nearest algorithms  in the literature has been ) 3.740000 20.374839 m gs 1 -1 sc sh gr  (More research on nearest algorithms  in the literature has been ) 3.740000 20.374800 m gs 1 -1 sc sh gr
484  (focused on the  Euclidean case. In many practical search pro) 3.740000 20.574839 m gs 1 -1 sc sh gr  (focused on the  Euclidean case. In many practical search pro) 3.740000 20.574800 m gs 1 -1 sc sh gr
485  (blems however, the underlying metric spaces are quite weak,) 3.740000 20.774839 m gs 1 -1 sc sh gr  (blems however, the underlying metric spaces are quite weak,) 3.740000 20.774800 m gs 1 -1 sc sh gr
486  ( which motivates a search for other classes of metric space) 3.740000 20.974839 m gs 1 -1 sc sh gr  ( which motivates a search for other classes of metric space) 3.740000 20.974800 m gs 1 -1 sc sh gr
487  (s that can be tractably  searched) 3.740000 21.174839 m gs 1 -1 sc sh gr  (s that can be tractably  searched) 3.740000 21.174800 m gs 1 -1 sc sh gr
488  () 3.740000 21.374839 m gs 1 -1 sc sh gr  () 3.740000 21.374800 m gs 1 -1 sc sh gr
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
490  (e for  nearest neighbor queries in growth- constrained metrics. ) 3.740000 21.774839 m gs 1 -1 sc sh gr  (e for  nearest neighbor queries in growth- constrained metrics. ) 3.740000 21.774800 m gs 1 -1 sc sh gr
491  (hese  metrics satisfy the property that for any poiint q and) 3.740000 21.974839 m gs 1 -1 sc sh gr  (hese  metrics satisfy the property that for any poiint q and) 3.740000 21.974800 m gs 1 -1 sc sh gr
492  ( distance d the number of points within distance 2d of q is mo) 3.740000 22.174839 m gs 1 -1 sc sh gr  ( distance d the number of points within distance 2d of q is mo) 3.740000 22.174800 m gs 1 -1 sc sh gr
493  (st constant factor  for large than the numberr of points within di) 3.740000 22.374839 m gs 1 -1 sc sh gr  (st constant factor  for large than the numberr of points within di) 3.740000 22.374800 m gs 1 -1 sc sh gr
494  (stance d. Spaces of this  kind  may occur in networking appli) 3.740000 22.574839 m gs 1 -1 sc sh gr  (stance d. Spaces of this  kind  may occur in networking appli) 3.740000 22.574800 m gs 1 -1 sc sh gr
495  () 3.740000 22.774839 m gs 1 -1 sc sh gr  () 3.740000 22.774800 m gs 1 -1 sc sh gr
496  (cations, such as the Internet or  Peer-to-peer networks, and) 3.740000 22.974839 m gs 1 -1 sc sh gr  (cations, such as the Internet or  Peer-to-peer networks, and) 3.740000 22.974800 m gs 1 -1 sc sh gr
497  (  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
498  (feature vectors  fall into low-dimensional manifolds within hig) 3.740000 23.374839 m gs 1 -1 sc sh gr  (feature vectors  fall into low-dimensional manifolds within hig) 3.740000 23.374800 m gs 1 -1 sc sh gr
499  (h- dimensional vector spaces.) 3.740000 23.574839 m gs 1 -1 sc sh gr  (h- dimensional vector spaces.) 3.740000 23.574800 m gs 1 -1 sc sh gr
500  /Helvetica-latin1 ff 0.200000 scf sf  /Helvetica-latin1 ff 0.200000 scf sf
501  (More research on nearest algorithms   in the literature has bee) 3.790000 24.174839 m gs 1 -1 sc sh gr  (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  (n  focused on the  Euclidean case. In many practical search) 3.790000 24.374800 m gs 1 -1 sc sh gr
503  ( problems however, the underl ying metric spaces are quite) 3.790000 24.574839 m gs 1 -1 sc sh gr  ( problems however, the underl ying metric spaces are quite) 3.790000 24.574800 m gs 1 -1 sc sh gr
504  ( weak, whi ch motivates a search for other classes  of met) 3.790000 24.774839 m gs 1 -1 sc sh gr  ( weak, whi ch motivates a search for other classes  of met) 3.790000 24.774800 m gs 1 -1 sc sh gr
505  (ric spaces that can be tractably  searched) 3.790000 24.974839 m gs 1 -1 sc sh gr  (ric spaces that can be tractably  searched) 3.790000 24.974800 m gs 1 -1 sc sh gr
506  () 3.790000 25.174839 m gs 1 -1 sc sh gr  () 3.790000 25.174800 m gs 1 -1 sc sh gr
 () 3.790000 25.374839 m gs 1 -1 sc sh gr  
507  /Helvetica-latin1 ff 0.200000 scf sf  /Helvetica-latin1 ff 0.200000 scf sf
508  (More research on nearest algorithms   in the literature has bee) 3.740000 25.398226 m gs 1 -1 sc sh gr  (More research on nearest algorithms   in the literature has bee) 3.740000 25.398200 m gs 1 -1 sc sh gr
509  (n  focused on the  Euclidean case. In many practical search) 3.740000 25.598226 m gs 1 -1 sc sh gr  (n  focused on the  Euclidean case. In many practical search) 3.740000 25.598200 m gs 1 -1 sc sh gr
510  ( problems however, the underl ying metric spaces are quite) 3.740000 25.798226 m gs 1 -1 sc sh gr  ( problems however, the underl ying metric spaces are quite) 3.740000 25.798200 m gs 1 -1 sc sh gr
511  ( weak, whi ch motivates a search for other classes  of met) 3.740000 25.998226 m gs 1 -1 sc sh gr  ( weak, whi ch motivates a search for other classes  of met) 3.740000 25.998200 m gs 1 -1 sc sh gr
512  (ric spaces that can be tractably  searched) 3.740000 26.198226 m gs 1 -1 sc sh gr  (ric spaces that can be tractably  searched) 3.740000 26.198200 m gs 1 -1 sc sh gr
513  () 3.740000 26.398226 m gs 1 -1 sc sh gr  () 3.740000 26.398200 m gs 1 -1 sc sh gr
 () 3.740000 26.598226 m gs 1 -1 sc sh gr  
514  /Helvetica-latin1 ff 0.200000 scf sf  /Helvetica-latin1 ff 0.200000 scf sf
515  (More research on nearest algorithms  in the literature has been ) 20.140000 23.198226 m gs 1 -1 sc sh gr  (More research on nearest algorithms  in the literature has been ) 20.140000 23.198200 m gs 1 -1 sc sh gr
516  (focused on the  Euclidean case. In many practical search pro) 20.140000 23.398226 m gs 1 -1 sc sh gr  (focused on the  Euclidean case. In many practical search pro) 20.140000 23.398200 m gs 1 -1 sc sh gr
517  (blems however, the underlying metric spaces are quite weak,) 20.140000 23.598226 m gs 1 -1 sc sh gr  (blems however, the underlying metric spaces are quite weak,) 20.140000 23.598200 m gs 1 -1 sc sh gr
518  ( which motivates a search for other classes of metric space) 20.140000 23.798226 m gs 1 -1 sc sh gr  ( which motivates a search for other classes of metric space) 20.140000 23.798200 m gs 1 -1 sc sh gr
519  (s that can be tractably  searched) 20.140000 23.998226 m gs 1 -1 sc sh gr  (s that can be tractably  searched) 20.140000 23.998200 m gs 1 -1 sc sh gr
520  () 20.140000 24.198226 m gs 1 -1 sc sh gr  () 20.140000 24.198200 m gs 1 -1 sc sh gr
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  (e for  nearest neighbor queries in growth- constrained metrics. ) 20.140000 24.598226 m gs 1 -1 sc sh gr  (e for  nearest neighbor queries in growth- constrained metrics. ) 20.140000 24.598200 m gs 1 -1 sc sh gr
523  (hese  metrics satisfy the property that for any poiint q and) 20.140000 24.798226 m gs 1 -1 sc sh gr  (hese  metrics satisfy the property that for any poiint q and) 20.140000 24.798200 m gs 1 -1 sc sh gr
524  ( distance d the number of points within distance 2d of q is mo) 20.140000 24.998226 m gs 1 -1 sc sh gr  ( distance d the number of points within distance 2d of q is mo) 20.140000 24.998200 m gs 1 -1 sc sh gr
525  (st constant factor  for large than the numberr of points within di) 20.140000 25.198226 m gs 1 -1 sc sh gr  (st constant factor  for large than the numberr of points within di) 20.140000 25.198200 m gs 1 -1 sc sh gr
526  (stance d. Spaces of this  kind  may occur in networking appli) 20.140000 25.398226 m gs 1 -1 sc sh gr  (stance d. Spaces of this  kind  may occur in networking appli) 20.140000 25.398200 m gs 1 -1 sc sh gr
527  () 20.140000 25.598226 m gs 1 -1 sc sh gr  () 20.140000 25.598200 m gs 1 -1 sc sh gr
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  /Helvetica-latin1 ff 0.200000 scf sf  /Helvetica-latin1 ff 0.200000 scf sf
533  (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  /Helvetica-latin1 ff 0.200000 scf sf  /Helvetica-latin1 ff 0.200000 scf sf
540  (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  
546  0.100000 slw  0.100000 slw
547  [0.200000] 0 sd  [0.200000] 0 sd
548  [0.200000] 0 sd  [0.200000] 0 sd
549  0 slj  0 slj
550  0.056238 0.818182 0.202874 srgb  0.054902 0.815686 0.200000 srgb
551  n 1.900000 2.700000 m 1.900000 9.150000 l 11.100000 9.150000 l 11.100000 2.700000 l cp s  n 1.900000 2.700000 m 1.900000 9.150000 l 11.100000 9.150000 l 11.100000 2.700000 l cp s
552  0.100000 slw  0.100000 slw
553  [0.200000] 0 sd  [0.200000] 0 sd
554  [0.200000] 0 sd  [0.200000] 0 sd
555  0 slc  0 slc
556  0.164719 0.772727 0.206307 srgb  0.164706 0.772549 0.203922 srgb
557  n 13.440000 3.795000 m 11.100000 2.700000 l s  n 13.440000 3.795000 m 11.100000 2.700000 l s
558  0.100000 slw  0.100000 slw
559  [0.200000] 0 sd  [0.200000] 0 sd
560  [0.200000] 0 sd  [0.200000] 0 sd
561  0 slc  0 slc
562  0.182524 0.795455 0.246611 srgb  0.180392 0.792157 0.243137 srgb
563  n 13.440000 11.050000 m 11.100000 9.150000 l s  n 13.440000 11.050000 m 11.100000 9.150000 l s
564  0.100000 slw  0.100000 slw
565  [] 0 sd  [] 0 sd
566  [] 0 sd  [] 0 sd
567  0 slj  0 slj
568  0.201396 0.742424 0.253864 srgb  0.200000 0.741176 0.250980 srgb
569  n 13.440000 3.795000 m 13.440000 11.050000 l 17.990000 11.050000 l 17.990000 3.795000 l cp s  n 13.440000 3.795000 m 13.440000 11.050000 l 17.990000 11.050000 l 17.990000 3.795000 l cp s
570  /Helvetica-latin1 ff 0.800000 scf sf  /Helvetica-latin1 ff 0.800000 scf sf
571  0.000000 0.000000 0.000000 srgb  0.000000 0.000000 0.000000 srgb
572  (Enfilade) dup sw 2 div 15.600000 ex sub 3.400000 m gs 1 -1 sc sh gr  (Enfilade) dup sw 2 div 15.600000 ex sub 3.400000 m gs 1 -1 sc sh gr
573  /Helvetica-latin1 ff 0.300000 scf sf  /Helvetica-latin1 ff 0.300000 scf sf
574  (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  (motivates a search for other cla) 13.740000 6.074839 m gs 1 -1 sc sh gr  (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  (amic data strucutre for  neares) 13.740000 7.274839 m gs 1 -1 sc sh gr  (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  ( satisfy the property that for any) 13.740000 8.174839 m gs 1 -1 sc sh gr  ( 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  
599  /Courier-latin1 ff 0.800000 scf sf  /Courier-latin1 ff 0.800000 scf sf
600  () dup sw 2 div 24.500000 ex sub 3.400000 m gs 1 -1 sc sh gr  () dup sw 2 div 24.500000 ex sub 3.400000 m gs 1 -1 sc sh gr
601  /Courier-latin1 ff 0.800000 scf sf  /Courier-latin1 ff 0.800000 scf sf
602  () dup sw 2 div 3.090000 ex sub 3.512143 m gs 1 -1 sc sh gr  () dup sw 2 div 3.090000 ex sub 3.512140 m gs 1 -1 sc sh gr
603  /Helvetica-latin1 ff 0.800000 scf sf  /Helvetica-latin1 ff 0.800000 scf sf
604  (Span) dup sw 2 div 25.050000 ex sub 6.900000 m gs 1 -1 sc sh gr  (Span) dup sw 2 div 25.050000 ex sub 6.900000 m gs 1 -1 sc sh gr
605  0.100000 slw  0.100000 slw
606  [0.200000] 0 sd  [0.200000] 0 sd
607  [0.200000] 0 sd  [0.200000] 0 sd
608  0 slj  0 slj
609  0.992424 0.000000 0.821395 srgb  0.992157 0.000000 0.819608 srgb
610  n 2.050000 13.650000 m 2.050000 15.000000 l 11.100000 15.000000 l 11.100000 13.650000 l cp s  n 2.050000 13.650000 m 2.050000 15.000000 l 11.100000 15.000000 l 11.100000 13.650000 l cp s
611  0.100000 slw  0.100000 slw
612  [0.200000] 0 sd  [0.200000] 0 sd
# Line 629  n 6.928030 15.821809 m 6.575000 15.00000 Line 620  n 6.928030 15.821809 m 6.575000 15.00000
620  [0.200000] 0 sd  [0.200000] 0 sd
621  [0.200000] 0 sd  [0.200000] 0 sd
622  0 slj  0 slj
623  0.992424 0.000000 0.821395 srgb  0.992157 0.000000 0.819608 srgb
624  n 3.650000 21.900000 m 3.650000 22.495000 l 8.700000 22.495000 l 8.700000 21.900000 l cp s  n 3.650000 21.900000 m 3.650000 22.495000 l 8.700000 22.495000 l 8.700000 21.900000 l cp s
625  /Helvetica-latin1 ff 0.800000 scf sf  /Helvetica-latin1 ff 0.800000 scf sf
626  0.000000 0.000000 0.000000 srgb  0.000000 0.000000 0.000000 srgb
627  (Transclusion) dup sw 2 div 10.358480 ex sub 18.307903 m gs 1 -1 sc sh gr  (Transclusion) dup sw 2 div 10.358500 ex sub 18.307900 m gs 1 -1 sc sh gr
628  0.100000 slw  0.100000 slw
629  [0.200000] 0 sd  [0.200000] 0 sd
630  [0.200000] 0 sd  [0.200000] 0 sd
631  0 slc  0 slc
632  n 7.918966 20.061153 3.495113 3.495113 251.327918 314.071251 ellipse s  n 7.918965 20.061156 3.495116 3.495116 251.327944 314.071225 ellipse s
633  0 slj  0 slj
634  n 7.429833 16.114932 m 6.800000 16.750000 l 7.685954 16.872825 l f  n 7.429833 16.114933 m 6.800000 16.750000 l 7.685954 16.872826 l f
635  /Helvetica-latin1 ff 0.700000 scf sf  /Helvetica-latin1 ff 0.700000 scf sf
636  (Use 1500 bytes of ) 0.258480 17.307903 m gs 1 -1 sc sh gr  (Use 1500 bytes of ) 0.258480 17.307900 m gs 1 -1 sc sh gr
637  (block Y, offset = 563) 0.258480 18.007903 m gs 1 -1 sc sh gr  (block Y, offset = 563) 0.258480 18.007900 m gs 1 -1 sc sh gr
638  0.100000 slw  0.100000 slw
639  [0.200000] 0 sd  [0.200000] 0 sd
640  [0.200000] 0 sd  [0.200000] 0 sd
# Line 652  n 16.248911 18.140051 2.256250 2.256250 Line 643  n 16.248911 18.140051 2.256250 2.256250
643  0 slj  0 slj
644  n 14.853729 15.742316 m 14.600000 16.600000 l 15.438385 16.288373 l f  n 14.853729 15.742316 m 14.600000 16.600000 l 15.438385 16.288373 l f
645  /Helvetica-latin1 ff 0.700000 scf sf  /Helvetica-latin1 ff 0.700000 scf sf
646  (The 1012 bytes of  block Y, ) 18.767455 14.131290 m gs 1 -1 sc sh gr  (The 1012 bytes of  block Y, ) 18.767500 14.131300 m gs 1 -1 sc sh gr
647  (offset = 563, are connected to ) 18.767455 14.831290 m gs 1 -1 sc sh gr  (offset = 563, are connected to ) 18.767500 14.831300 m gs 1 -1 sc sh gr
648  (772 bytes of block X, offset) 18.767455 15.531290 m gs 1 -1 sc sh gr  (772 bytes of block X, offset) 18.767500 15.531300 m gs 1 -1 sc sh gr
649  (745, because documents') 18.767455 16.231290 m gs 1 -1 sc sh gr  (745, because documents') 18.767500 16.231300 m gs 1 -1 sc sh gr
650  (writers talk about same thing) 18.767455 16.931290 m gs 1 -1 sc sh gr  (writers talk about same thing) 18.767500 16.931300 m gs 1 -1 sc sh gr
651  /Helvetica-latin1 ff 0.800000 scf sf  /Helvetica-latin1 ff 0.800000 scf sf
652  (Xanadu-link) dup sw 2 div 18.534720 ex sub 17.907903 m gs 1 -1 sc sh gr  (Xanadu-link) dup sw 2 div 18.534700 ex sub 17.907900 m gs 1 -1 sc sh gr
653  0.100000 slw  0.100000 slw
654  [0.200000] 0 sd  [0.200000] 0 sd
655  [0.200000] 0 sd  [0.200000] 0 sd
656  0 slj  0 slj
657  0.916667 0.808970 0.000000 srgb  0.913725 0.807843 0.000000 srgb
658  n 20.140000 24.745000 m 20.140000 25.340000 l 25.190000 25.340000 l 25.190000 24.745000 l cp s  n 20.140000 24.745000 m 20.140000 25.340000 l 25.190000 25.340000 l 25.190000 24.745000 l cp s
659  0.100000 slw  0.100000 slw
660  [0.200000] 0 sd  [0.200000] 0 sd
# Line 683  n 19.340731 24.343542 m 20.140000 24.745 Line 674  n 19.340731 24.343542 m 20.140000 24.745
674  /Helvetica-latin1 ff 0.800000 scf sf  /Helvetica-latin1 ff 0.800000 scf sf
675  (Document 2) dup sw 2 div 6.395000 ex sub 19.545000 m gs 1 -1 sc sh gr  (Document 2) dup sw 2 div 6.395000 ex sub 19.545000 m gs 1 -1 sc sh gr
676  /Helvetica-latin1 ff 0.800000 scf sf  /Helvetica-latin1 ff 0.800000 scf sf
677  (Document 3) dup sw 2 div 22.671480 ex sub 19.557903 m gs 1 -1 sc sh gr  (Document 3) dup sw 2 div 22.671500 ex sub 19.557900 m gs 1 -1 sc sh gr
678  0.100000 slw  0.100000 slw
679  [] 0 sd  [] 0 sd
680  [] 0 sd  [] 0 sd
681  0 slj  0 slj
682  1.000000 0.058336 0.087278 srgb  1.000000 0.054902 0.086275 srgb
683  n 22.740000 9.595000 m 22.740000 10.350000 l 23.750000 10.350000 l 23.750000 9.595000 l cp s  n 22.740000 9.595000 m 22.740000 10.350000 l 23.750000 10.350000 l 23.750000 9.595000 l cp s
684  0.100000 slw  0.100000 slw
685  [] 0 sd  [] 0 sd
# Line 711  n 24.890000 9.595000 m 24.890000 10.3500 Line 702  n 24.890000 9.595000 m 24.890000 10.3500
702  [0.200000] 0 sd  [0.200000] 0 sd
703  [0.200000] 0 sd  [0.200000] 0 sd
704  0 slc  0 slc
705  n 22.290052 12.538046 2.439709 2.439709 213.260406 267.884681 ellipse s  n 22.290050 12.538044 2.439706 2.439706 213.260370 267.884717 ellipse s
706  0 slj  0 slj
707  n 21.415310 10.529256 m 22.200000 10.100000 l 21.385781 9.729801 l f  n 21.415309 10.529256 m 22.200000 10.100000 l 21.385781 9.729801 l f
708  /Helvetica-latin1 ff 0.700000 scf sf  /Helvetica-latin1 ff 0.700000 scf sf
709  (Each character has a permanent GUID) dup sw 2 div 21.384720 ex sub 12.007903 m gs 1 -1 sc sh gr  (Each character has a permanent GUID) dup sw 2 div 21.384700 ex sub 12.007900 m gs 1 -1 sc sh gr
710  showpage  showpage

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