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TABLE I OVERVIEW OF TARGET DETECTION APPROACHES
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Table 1 A comparison of target detection algorithms
TABLE I OVERVIEW OF TARGET DETECTION APPROACHES Parametric-based approach
Table 1: Results of the one-target-speaker detection experiments.
1999
"... In PAGE 3: ... 6. EXPERIMENTAL RESULTS Table1 reports results for the one-target-speaker detection exper- iments. Results are reported for the 4 categories of sound: high- fidelity, clean, allspeech, and alldata.... ..."
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Table 1: Results of the one-target-speaker detection experiments.
1999
"... In PAGE 3: ... 6. EXPERIMENTAL RESULTS Table1 reports results for the one-target-speaker detection exper- iments. Results are reported for the 4 categories of sound: high- fidelity, clean, allspeech, and alldata.... ..."
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Table 3: Timing measurements for three decompositions of the target detection task on a two node cluster.
1999
"... In PAGE 19: ... The number of replicas was two in all cases, since we were using a two node cluster. Timing results for decompositions A, B, and C are shown in Table3 . Decom- position A corresponds to distributing frames at the outer level, B to distribut- ing color models, and C to distributing regions.... ..."
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Table 3: Timing measurements for three decompositions of the target detection task on a two node cluster.
1999
"... In PAGE 19: ... The number of replicas was two in all cases, since we were using a two node cluster. Timing results for decompositions A, B, and C are shown in Table3 . Decom- position A corresponds to distributing frames at the outer level, B to distribut- ing color models, and C to distributing regions.... ..."
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Table 2. Gaussian ts to detected sources Target
"... In PAGE 4: ...f. Table2 ) are also similar to those of the H emission (Heckman et al. , 1989).... ..."
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