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Lecture Notes
"This course will consist of a number of major sections. The first will be a short review of some preliminary material, including asymptotics, summations, and recurrences and ...
ECCV
2006
Springer
15 years 6 days ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
ICCV
2005
IEEE
15 years 7 days ago
2005
IEEE
A new framework is presented that uses tools from duality theory of linear programming to derive graph-cut based combinatorial algorithms for approximating NP-hard classification ...
CDC
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider an agent-target assignment problem in an unknown environment modeled as an undirected graph. Agents do not know this graph or the locations of the targets on it. Howeve...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
This paper considers the problem of clustering a partially observed unweighted graph – i.e. one where for some node pairs we know there is an edge between them, for some others ...