Object Recognition with Gradient-Based Learning
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...On the learning side, methods for classifying the feature space have ranged from simple nearest-neighbor schemes to more complex approaches such as neural networks [8], convolutional neural networks [17], probabilistic methods [11], [18], and linear or higher degree polynomial classifiers [13], [16]....
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"Object Recognition with Gradient-Ba..." refers background in this paper
...This seems to be an almost perfect, if fortuitous, implementation of Vapnik’s \Structural Risk Minimization" principle [ 31 ]....
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...The Support Vector Machine [ 31 ] has excellent accuracy, which is most remarkable, because unlike the other high performance classiers, it does not include ap rioriknowledge about the problem [4]....
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"Object Recognition with Gradient-Ba..." refers background in this paper
...This knowledge can be applied by forcing a set of units, whose receptive elds are located at dierent places on the image, to have identical weight vectors [8], [ 28 ], [16]....
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