Primitive pattern learning
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摘要
A new approach to the feature detection problem, i.e. learning “useful” primitive features from raw images, is proposed. The “useful” features are defined within the training environment as those that allow the learning agent (learning system) to form object representations sufficient for subsequent object recognition. In other words, the “useful” features detected are discriminating, useful features.
论文关键词:Primitive Image Features,Pattern Learning,Machine Vision,Local Disparity Function
论文评审过程:Received 13 March 1990, Revised 7 October 1991, Accepted 11 December 1991, Available online 19 May 2003.
论文官网地址:https://doi.org/10.1016/0031-3203(92)90041-G