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» Approximate Inference and Constrained Optimization
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CISS
2007
IEEE
13 years 11 months ago
Energy Efficient Routing for Statistical Inference of Markov Random Fields
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
Animashree Anandkumar, Lang Tong, Ananthram Swami
CORR
2010
Springer
253views Education» more  CORR 2010»
13 years 7 months ago
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCu...
PVLDB
2008
100views more  PVLDB 2008»
13 years 7 months ago
Efficiently approximating query optimizer plan diagrams
Given a parametrized n-dimensional SQL query template and a choice of query optimizer, a plan diagram is a color-coded pictorial enumeration of the execution plan choices of the o...
Atreyee Dey, Sourjya Bhaumik, Harish D., Jayant R....
NIPS
2000
13 years 9 months ago
Keeping Flexible Active Contours on Track using Metropolis Updates
Condensation, a form of likelihood-weighted particle filtering, has been successfully used to infer the shapes of highly constrained "active" contours in video sequences...
Trausti T. Kristjansson, Brendan J. Frey
ISSAC
2007
Springer
111views Mathematics» more  ISSAC 2007»
14 years 1 months ago
Numerical optimization in hybrid symbolic-numeric computation
Approximate symbolic computation problems can be formulated as constrained or unconstrained optimization problems, for example: GCD [3, 8, 12, 13, 23], factorization [5, 10], and ...
Lihong Zhi