Topographic Transformation as a Discrete Latent Variable

@inproceedings{Jojic1999TopographicTA,
  title={Topographic Transformation as a Discrete Latent Variable},
  author={Nebojsa Jojic and Brendan J. Frey},
  booktitle={NIPS},
  year={1999}
}
Invariance to topographic transformations such as translation and shearing in an image has been successfully incorporated into feedforward mechanisms, e.g., "convolutional neural networks", "tangent propagation". We describe a way to add transformation invariance to a generative density model by approximating the nonlinear transformation manifold by a discrete set of transformations. An EM algorithm for the original model can be extended to the new model by computing expectations over the set… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS