Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines

@article{Tulder2016CombiningGA,
  title={Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines},
  author={Gijs van Tulder and Marleen de Bruijne},
  journal={IEEE Transactions on Medical Imaging},
  year={2016},
  volume={35},
  pages={1262-1272}
}
The choice of features greatly influences the performance of a tissue classification system. Despite this, many systems are built with standard, predefined filter banks that are not optimized for that particular application. Representation learning methods such as restricted Boltzmann machines may outperform these standard filter banks because they learn a feature description directly from the training data. Like many other representation learning methods, restricted Boltzmann machines are… CONTINUE READING