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{{machine learning}}
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'''Multimodal learning''' attempts to model the combination of different [[Modality (human–computer interaction)|modalities]] of data, often arising in real-world applications. An example of multi-modal data is data that combines text (typically represented as discrete word count vectors) with imaging data consisting of [[pixel]] intensities and annotation tags. As these modalities have fundamentally different statistical properties, combining them is non-trivial, which is why specialized modelling strategies and algorithms are required.
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