The primary focus of this article will be on the solution to this problem presented by L. Fei-Fei, R. Fergus and P. Perona in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol28(4), 2006, which uses a generative object category model and variational Bayesian framework for representation and learning of visual object categories from a handful of training examples.
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Lew, M.S., Wong, K., and Huang, T.S. (1994), "Learning and Feature Selection in Stereo Matching," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.