459 citations · 1.1k across the 18 of their papers we have counts for
4 papers · 1 filter
k-Sparse Autoencoders
Alireza Makhzani, Brendan Frey
Recently, it has been observed that when representations are learnt in a way that encourages sparsity, improved performance is obtained on classification tasks. These methods invol…
Variational Learning in Mixed-State Dynamic Graphical Models
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
Many real-valued stochastic time-series are locally linear (Gassian), but globally non-linear. For example, the trajectory of a human hand gesture can be viewed as a linear dynamic…
Learning Graphical Models of Images, Videos and Their Spatial Transformations
Brendan J. Frey, Nebojsa Jojic
Mixtures of Gaussians, factor analyzers (probabilistic PCA) and hidden Markov models are staples of static and dynamic data modeling and image and video modeling in particular. We…
A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields
Kannan Achan, Brendan J. Frey, Ralf Koetter
Some types of medical and topographic imaging device produce images in which the pixel values are "phase-wrapped", i.e. measured modulus a known scalar. Phase unwrapping can be vie…