A Generative Model for Deep Convolutional Learning
April 15, 2015 ยท Declared Dead ยท ๐ International Conference on Learning Representations
"No code URL or promise found in abstract"
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Authors
Yunchen Pu, Xin Yuan, Lawrence Carin
arXiv ID
1504.04054
Category
stat.ML: Machine Learning (Stat)
Cross-listed
cs.LG,
cs.NE
Citations
4
Venue
International Conference on Learning Representations
Last Checked
5 months ago
Abstract
A generative model is developed for deep (multi-layered) convolutional dictionary learning. A novel probabilistic pooling operation is integrated into the deep model, yielding efficient bottom-up (pretraining) and top-down (refinement) probabilistic learning. Experimental results demonstrate powerful capabilities of the model to learn multi-layer features from images, and excellent classification results are obtained on the MNIST and Caltech 101 datasets.
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