convolutional deep belief networks / energy term / energy function / Information processing / deep belief networks / Parallel distributed processing / online version / dynamical systems / learning algorithm / convolutional neural networks / deep convolutional neural networks / energy / /
Organization
Silvio Savarese Department of Electrical Engineering / University of Michigan / Ann Arbor / National Science Foundation / US Federal Reserve / /
Person
Benjamin Kuipers / Silvio Savarese / /
Position
Spatially coherent latent topic model for concurrent object segmentation and classification / chair / Prime Minister / designer / Sparse deep belief net model for visual area V2 / /
Product
Gibbs / /
ProgrammingLanguage
PASCAL / /
PublishedMedium
Communications of the ACM / Journal of Machine Learning Research / Machine Learning / /
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese Department of Electrical Engineering and Computer