Exponential family Fisher vector for image classification
We generalize the FV to mixtures of non-Gaussian pdf in a unified manner. We provide a complete derivation of the FV for arbitrary sets. We derive a block-diagonal normalizer which is general and simple to estimate. We run experiments using different combinations of local features and mixture models.
exponential family fisher vectors image classification fisher kernel