Multimodal fusion decision logic system for determining whether to accept a specimen

This invention outlines a method for determining if a dataset, containing multiple types of information about objects, is acceptable for making decisions. It uses statistical models, potentially including Copula models, to create probability arrays and define a 'no-match zone.' This zone helps calculate false acceptance and false rejection rates, which are then compared to desired thresholds to decide whether to accept or reject the dataset.

Why it matters: Filed before the widespread accessibility and advancement of machine learning frameworks and multimodal data processing techniques. The statistical modeling and decision logic described, particularly for fusing multimodal data, are now more readily implementable with modern ML libraries and increased computational power.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, statistical modeling, machine learning

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