Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification ?
We propose a novel linear codebook transformation method to undo the image dataset bias. We alternatively optimize over the linear transformation matrix and encoding parameters. We achieve comparable performance with codebook generated by the corresponding image dataset.
codebook bias linear transformation sparsity alternative optimization