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A patent application titled "Context-Driven Learning Of Human-Object Interactions" has been submitted by inventors from Amsterdam, NL. The application describes a method and apparatus for classifying an input by identifying a human-object interaction and context features, comparing them, determining their importance, and fusing them together when the importance exceeds a threshold. The invention aims to improve the use of context in classification systems, particularly in relation to human-object interactions. The patent application provides additional details and claims for further exploration. [Extracted from the article]

A patent application titled "Context-Driven Learning Of Human-Object Interactions" has been published online by inventors from Amsterdam. The application describes a method and apparatus for classifying an input by identifying a human-object interaction and context features of the input, comparing them, determining their importance, and fusing them together when the importance exceeds a threshold. The invention aims to improve the use of context in classification systems, particularly in relation to human-object interactions. The patent application provides detailed claims and technical information for further exploration. [Extracted from the article]