The application of an oblique-projected Landweber method to a model of supervised learning

@article{Johansson2006TheAO,
  title={The application of an oblique-projected Landweber method to a model of supervised learning},
  author={Bj{\"o}rn Johansson and Tommy Elfving and Vladimir Kozlov and Yair Censor and Per-Erik Forss{\'e}n and G{\"o}sta H. Granlund},
  journal={Mathematical and Computer Modelling},
  year={2006},
  volume={43},
  pages={892-909}
}
This report brings together a novel approach to some computer vision problems and a particular algorithmic development of the Landweber iterative algorithm. The algorithm solves a class of high-dimensional, sparse, and constrained least-squares problems, which arise in various computer vision learning tasks, such as object recognition and object pose estimation. The algorithm has recently been applied to these problems, but it has been used rather heuristically. In this report we describe the… CONTINUE READING