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» Algorithms for the Sample Mean of Graphs
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CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 3 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
ICCV
2005
IEEE
16 years 6 months ago
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar
In this paper, we present an attribute graph grammar for image parsing on scenes with man-made objects, such as buildings, hallways, kitchens, and living rooms. We choose one clas...
Feng Han, Song Chun Zhu
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 10 months ago
ACOhg: dealing with huge graphs
Ant Colony Optimization (ACO) has been successfully applied to those combinatorial optimization problems which can be translated into a graph exploration. Artificial ants build s...
Enrique Alba, J. Francisco Chicano
CORR
2010
Springer
174views Education» more  CORR 2010»
15 years 4 months ago
Gaussian Process Bandits for Tree Search
We motivate and analyse a new Tree Search algorithm, based on recent advances in the use of Gaussian Processes for bandit problems. We assume that the function to maximise on the ...
Louis Dorard, John Shawe-Taylor
143
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TCS
2008
15 years 4 months ago
Setting port numbers for fast graph exploration
We consider the problem of periodic graph exploration by a finite automaton in which an automaton with a constant number of states has to explore all unknown anonymous graphs of a...
David Ilcinkas