The hierarchical beta process for convolutional factor analysis and deep learning
Publication
, Journal Article
Chen, B; Polatkan, G; Sapiro, G; Dunson, DB; Carin, L
Published in: Proceedings of the 28th International Conference on Machine Learning, ICML 2011
October 7, 2011
A convolutional factor-analysis model is developed, with the number of filters (factors) inferred via the beta process (BP) and hierarchical BP, for single-task and multi-task learning, respectively. The computation of the model parameters is implemented within a Bayesian setting, employing Gibbs sampling; we explicitly exploit the convolutional nature of the expansion to accelerate computations. The model is used in a multi-level ("deep") analysis of general data, with specific results presented for image-processing data sets, e.g., classification. Copyright 2011 by the author(s)/owner(s).
Duke Scholars
Published In
Proceedings of the 28th International Conference on Machine Learning, ICML 2011
Publication Date
October 7, 2011
Start / End Page
361 / 368
Citation
APA
Chicago
ICMJE
MLA
NLM
Chen, B., Polatkan, G., Sapiro, G., Dunson, D. B., & Carin, L. (2011). The hierarchical beta process for convolutional factor analysis and deep learning. Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 361–368.
Chen, B., G. Polatkan, G. Sapiro, D. B. Dunson, and L. Carin. “The hierarchical beta process for convolutional factor analysis and deep learning.” Proceedings of the 28th International Conference on Machine Learning, ICML 2011, October 7, 2011, 361–68.
Chen B, Polatkan G, Sapiro G, Dunson DB, Carin L. The hierarchical beta process for convolutional factor analysis and deep learning. Proceedings of the 28th International Conference on Machine Learning, ICML 2011. 2011 Oct 7;361–8.
Chen, B., et al. “The hierarchical beta process for convolutional factor analysis and deep learning.” Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Oct. 2011, pp. 361–68.
Chen B, Polatkan G, Sapiro G, Dunson DB, Carin L. The hierarchical beta process for convolutional factor analysis and deep learning. Proceedings of the 28th International Conference on Machine Learning, ICML 2011. 2011 Oct 7;361–368.
Published In
Proceedings of the 28th International Conference on Machine Learning, ICML 2011
Publication Date
October 7, 2011
Start / End Page
361 / 368