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JMLR
2010
148views more  JMLR 2010»
13 years 3 months ago
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to expre...
Vicenç Gómez, Hilbert J. Kappen, Mic...
JMLR
2010
136views more  JMLR 2010»
13 years 3 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
CVPR
2009
IEEE
15 years 4 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
ICDE
2004
IEEE
148views Database» more  ICDE 2004»
14 years 10 months ago
Approximate Selection Queries over Imprecise Data
We examine the problem of evaluating selection queries over imprecisely represented objects. Such objects are used either because they are much smaller in size than the precise on...
Iosif Lazaridis, Sharad Mehrotra
VLDB
2001
ACM
151views Database» more  VLDB 2001»
14 years 9 months ago
Approximate query mapping: Accounting for translation closeness
Abstract In this paper we present a mechanism for approximately translating Boolean query constraints across heterogeneous information sources. Achieving the best translation is ch...
Kevin Chen-Chuan Chang, Hector Garcia-Molina