Deep Fisher networks for large-scale image classification
As massively parallel computations have become broadly available with modern GPUs, deep architectures trained on very large datasets have risen in popularity. Discriminatively trained convolutional neural networks, in particular, were recently shown to yield state-of-the-art performance in challengi...
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| Format: | Conference item |
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Association for Computing Machinery
2013
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