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Visual Object Recognition with Supervised Learning
May/June 2003 (vol. 18 no. 3)
pp. 38-42
Bernd Heisele, MIT Center for Biological and Computational Learning

The problem of learning is arguably at the core of the problem of intelligence, both biological and artificial. This article reviews an approach to the problem of visual object recognition based on supervised learning. After briefly presenting the theoretical background, the author focuses on computer vision applications and discusses the problems and directions of future research.

Index Terms:
object detection, object categorization, object recognition, visual learning, pattern classification, support vector machines
Citation:
Bernd Heisele, "Visual Object Recognition with Supervised Learning," IEEE Intelligent Systems, vol. 18, no. 3, pp. 38-42, May-June 2003, doi:10.1109/MIS.2003.1200726
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