1. A system, comprising: a set of visual and textual classifiers for recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user, and performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions; and a multimodal information fusion device for combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores to infer a gender of a user.
1. A system, comprising: a set of visual and textual classifiers for recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user, and performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions; and a multimodal information fusion device for combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores to infer a gender of a user. 5. The system of claim 1 , wherein said multimodal information fusion device performs filtered fusion by selecting which multimodal gender information to use directly and which of the multimodal gender information to aggregate, to infer the gender of the user, from among the visual-based gender predictions, the textual-based gender predictions, and the semantic scores.