![Artificial neural networks / Computational neuroscience / Artificial intelligence / Machine learning / Applied mathematics / Cybernetics / Computer vision / Convolutional neural network / Deep learning / Feature detection / Feature learning / Supervised learning Artificial neural networks / Computational neuroscience / Artificial intelligence / Machine learning / Applied mathematics / Cybernetics / Computer vision / Convolutional neural network / Deep learning / Feature detection / Feature learning / Supervised learning](https://www.pdfsearch.io/img/8ae5d08b271fdb7fed995b445485055a.jpg) Date: 2011-04-07 02:30:19Artificial neural networks Computational neuroscience Artificial intelligence Machine learning Applied mathematics Cybernetics Computer vision Convolutional neural network Deep learning Feature detection Feature learning Supervised learning | | Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng Computer Science Department and Department of ElecAdd to Reading ListSource URL: cs.stanford.eduDownload Document from Source Website File Size: 705,94 KBShare Document on Facebook
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