Safety in numbers: Learning categories from few examples with multi model knowledge transfer

@article{Tommasi2010SafetyIN,
  title={Safety in numbers: Learning categories from few examples with multi model knowledge transfer},
  author={Tatiana Tommasi and Francesco Orabona and Barbara Caputo},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year={2010},
  pages={3081-3088}
}
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be useful to reproduce the human capability of recognizing objects even from only one single view. This paper presents an SVM-based model adaptation algorithm able to select and weight appropriately prior knowledge coming from different categories. The method relies on the solution of a convex optimization problem which… CONTINUE READING
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