Deep Feature Fusion for Face Analytics

Data produced from a particular source often exhibit correlations with those arising from other sources. Common data sources include (i) sensors—that gather raw data, (ii) feature extractors—which process the raw data from sensors to generate features representing the original data, and (iii) evaluators- –which produce a score or a measure that conveys the likelihood of the provided features belonging to an application specific hypothesis.