Multi-modal deep distance metric learning

In many real-world applications, data contain heterogeneous input modalities (e.g., web pages include images, text, etc.). Moreover, data such as images are usually described using different views (i.e. different sets of features). Learning a distance metric or similarity measure that originates fr om all input modalities or views is essential for many tasks such as content-based retrieval ones. In these cases, similar and dissimilar pairs of...