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Learning Convolutional Feature Hierarchies for Visual Recognition
Y-Lan Boureau
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Oznake: computer science;machine learning;unsupervised learning
We propose an unsupervised method for learning multi-stage hierarchies of sparse convolutional features. While sparse coding has become an increasingly popular method for learning visual features, it is most often trained at the patch level. Applying the resulting filters convolutionally results in ...
Leto: 2010 Vir: videolectures.net
Poster Spotlights
Simon Baker , Yu-Wing Tai , David Marimon , Yunpeng Li , Deqing Sun , Shaojie Zhuo , Jingyi Yu , Xiaohui Shen , Manuel Werlberger , Christopher Kanan , Simon Lucey , Dhruv Batra , Kyong Joon Lee , Ayan Chakrabarti , Iasonas Kokkinos , Matthew Zeiler , Hanno Scharr , David S. Bolme , Marc’Aurelio Ranzato , Y-Lan Boureau
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Oznake: computer science;computer vision;machine learning
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 2
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