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Modality-dependent Cross-media Retrieval
Specifically, by jointly optimizing the correlation between images and text and the linear regression from one modal space (image or text) to the semantic space, two couples of mappings are learned to project images and text from their original feature spaces into two common latent subspaces (one for I2T and the other for T2I).
Kernel Reconstruction ICA for Sparse Representation
However, ICA is not only sensitive to whitening but also difficult to learn an over-complete basis.
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