459 citations · 1.1k across the 18 of their papers we have counts for
8 papers · 1 filter
Learning Generative Models of Similarity Matrices
Romer Rosales, Brendan J. Frey
We describe a probabilistic (generative) view of affinity matrices along with inference algorithms for a subclass of problems associated with data clustering. This probabilistic vi…
Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models
Brendan J. Frey
The two most popular types of graphical model are directed models (Bayesian networks) and undirected models (Markov random fields, or MRFs). Directed and undirected models offer co…
Fast Exact Inference for Recursive Cardinality Models
Daniel Tarlow, Kevin Swersky, Richard S. Zemel +2
Cardinality potentials are a generally useful class of high order potential that affect probabilities based on how many of D binary variables are active. Maximum a posteriori (MAP)…
Convolutional Factor Graphs as Probabilistic Models
Yongyi Mao, Frank Kschischang, Brendan J. Frey
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. I…
Matrix Tile Analysis
Inmar Givoni, Vincent Cheung, Brendan J. Frey
Many tasks require finding groups of elements in a matrix of numbers, symbols or class likelihoods. One approach is to use efficient bi- or tri-linear factorization techniques incl…
Flexible Priors for Exemplar-based Clustering
Daniel Tarlow, Richard S. Zemel, Brendan J. Frey
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they o…