From Data Distributions toRegularization in Invariant LearningTodd

@inproceedings{K1995FromDD,
  title={From Data Distributions toRegularization in Invariant LearningTodd},
  author={K. and LeenDepartment},
  year={1995}
}
  • K., LeenDepartment
  • Published 1995
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing the training data to include examples of inputs transformed by elements of G, while leaving the corresponding targets unchanged. Alternatively the cost function for training can… CONTINUE READING