Exact(24)
We have applied the GS, GA and PSO techniques for optimizing the integration weight factor.
The final solution gives the integration weight scale factor for the score level fusion [34].
A constant value of γ=0.5 is assigned as an integration weight at all SNR conditions.
Optimal integration weight estimation using least squares technique was reported in [19].
Reliability-based optimal integration weight estimation for audio-visual decision fusion was reported in [20].
In this approach, the integration weight is determined from the relative reliability of the two modalities.
Similar(36)
The 'best integration weights' are then computed by algebraically combining these measures using the weighted sum rule.
The 'optimal integration weights' thus obtained in the training stage are used as the integration weights for fusion in the testing stage. .
The optimal integration weights are estimated using a multi-normalization framework [14].
In multimodal systems, confidence measures [15] are widely used as integration weights for biometric fusion.
So, we propose optimization techniques for estimating the optimal integration weights for fusion.
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