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ICCV
1999
IEEE
15 years 10 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
NIPS
2007
15 years 7 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
AIPS
2006
15 years 7 months ago
On Some Tractable Cases of Logical Filtering
Filtering denotes any method whereby an agent updates its belief state--its knowledge of the state of the world--from a sequence of actions and observations. In logical filtering,...
T. K. Satish Kumar, Stuart J. Russell
CORR
2007
Springer
128views Education» more  CORR 2007»
15 years 6 months ago
Equivalence of LP Relaxation and Max-Product for Weighted Matching in General Graphs
— Max-product belief propagation is a local, iterative algorithm to find the mode/MAP estimate of a probability distribution. While it has been successfully employed in a wide v...
Sujay Sanghavi
CISS
2010
IEEE
14 years 9 months ago
Unconstrained minimization of quadratic functions via min-sum
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
Nicholas Ruozzi, Sekhar Tatikonda