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Deep Learning with Hierarchical Convolutional Factor Analysis
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Bo Chen,Gungor Polatkan,Guillermo Sapiro,David Blei,David Dunson,Lawrence Carin
Issue Date:August 2013
pp. 1887-1901
Unsupervised multilayered (“deep”) models are considered for imagery. The model is represented using a hierarchical convolutional factor-analysis construction, with sparse factor loadings and scores. The computation of layer-dependent...
 
Multi-task compressive sensing with Dirichlet process priors
Found in: Proceedings of the 25th international conference on Machine learning (ICML '08)
By David Dunson, Dehong Liu, Lawrence Carin, Yuting Qi
Issue Date:July 2008
pp. 768-775
Compressive sensing (CS) is an emerging £eld that, under appropriate conditions, can signi£cantly reduce the number of measurements required for a given signal. In many applications, one is interested in multiple signals that may be measured in...
     
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