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ICASSP
2011
IEEE
8 years 5 months ago
Factor graph switching portfolios under transaction costs
We consider the sequential portfolio investment problem. Building on results in signal processing, machine learning, and other areas, we use factor graphs to develop new universal...
Andrew J. Bean, Andrew C. Singer
IJON
2010
189views more  IJON 2010»
8 years 12 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
JMLR
2006
118views more  JMLR 2006»
9 years 1 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
UAI
2004
9 years 2 months ago
Convolutional Factor Graphs as Probabilistic Models
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. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
IJCAI
2007
9 years 2 months ago
A Factor Graph Model for Software Bug Finding
Automatic tools for finding software errors require knowledge of the rules a program must obey, or “specifications,” before they can identify bugs. We present a method that ...
Ted Kremenek, Andrew Y. Ng, Dawson R. Engler
LSSC
2007
Springer
9 years 7 months ago
An Ant-Based Model for Multiple Sequence Alignment
Abstract. Multiple sequence alignment is a key process in today’s biology, and finding a relevant alignment of several sequences is much more challenging than just optimizing so...
Frédéric Guinand, Yoann Pigné
GBRPR
2007
Springer
9 years 7 months ago
Grouping Using Factor Graphs: An Approach for Finding Text with a Camera Phone
Abstract. We introduce a new framework for feature grouping based on factor graphs, which are graphical models that encode interactions among arbitrary numbers of random variables....
Huiying Shen, James Coughlan
ICIP
2008
IEEE
10 years 3 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
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