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Learning with Few Examples

   transferlearning The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. Our research in this area aims to exploit this additional information source by developing new techniques for transfer learning. The main results are included in the PhD thesis of Erik Rodner, where methods based on random decision forests and Gaussian processes were presented and analyzed.