1. A method for improving the performance of a multimodal fusion decision module characterized by establishing associations between multiple modality inputs at different instances, the method comprising: receiving at least one modality input from a subject capable of identifying the subject, wherein the at least one modality input comprises at least one instance; generating a first score value for the at least one modality input by utilizing a processor; computing performance parameters based on the first score value to generate a confidence weight value by utilizing the processor; associating at least one strong instance of the at least one modality input with at least one other weak instance of the at least one other modality input using the confidence weight value; modifying the first score value by weighting the first score value with the confidence weight value to compute a second score value for each modality input of the at least one modality input by utilizing the processor; combining each second score value for each modality input to generate an overall score value by utilizing the processor; and analyzing the overall score value to generate a decision on the at least one multimodal input by utilizing the processor.