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Table 1. Cascade classiflers
"... In PAGE 8: ... At last, RA is performed on all the survivals for rescoring. Table1 lists the eight fllters and the flnal rescorer used in the system. The idea of the cascade fllters comes from Viola [14] who used about 20 level fllters... In PAGE 8: ... The idea of the cascade fllters comes from Viola [14] who used about 20 level fllters to detect human faces. In fact, each fllter in Table1... ..."
Table 3. Statistical Summary of Bad Apple Phenomenon
"... In PAGE 6: ... Only a small queue re- sponse is seen at the server at the time of the network out- age, and the system recovers quickly. Table3 provides a statistical summary of the bad apple phenomenon, and the effectiveness of our solution. This zero-cost solution solves the bad apple problem for wireless media streaming, but at the risk of introducing un- reliable wireless delivery for both TCP and UDP packets.... ..."
Table 1 Self-correction phenomenon j
2002
Cited by 11
Table IV. Theory of Stokes Phenomenon and Resurgence
1999
Cited by 7
Table IV. Theory of Stokes Phenomenon and Resurgence (continued)
1999
Cited by 7
Table IV. Theory of Stokes phenomenon and resurgence
1998
Table IV. Theory of Stokes phenomenon and resurgence (continued)
1998
Table IV. Theory of Stokes phenomenon and resurgence (continued)
1998
Table II. Trends Demonstrating the Occurrence of the Chasing Phenomenon
Table 4: Cascaded translation results
"... In PAGE 6: ... To com- bine the relative strengths of the two methods, we test a cascaded architecture, whereby we first attempt to translate each NN compound using MBMTDICT, and failing this, resort to DMTCOMP. Table4 shows the results for MBMTDICT and DMTCOMP in isolation, and when cascaded (Cas- cade). For both translation directions, cascading re- sults in a sharp increase in F-score, with coverage constantly above 95% and accuracy dropping only marginally to just under 90% for the EJ task.... ..."
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