SLMESales Ledger Month End
SLMESingle Line Matrix Endorser
References in periodicals archive ?
This claim is reinforced in SLME, as we can see from Figure 9 for most of the fusion rules used along [D.sub.1] result in a better EER.
MLME fusion approach is the expansion of SLME, whereby the resulting fused scores from two or more sets of SLME with different latencies are fused together once more to get a final score.
It is not surprising that those involving [D.sub.1] as part of the feature combinations outperform the others since this is also noticed in SLME as discussed in the above section.