255 search results - page 43 / 51 » Generalized Boosting Algorithms for Convex Optimization |
134
Voted
CVPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
137
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JMLR
2010
14 years 10 months ago
2010
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
144
Voted
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
113
Voted
MP
2006
15 years 3 months ago
2006
The max-cut and stable set problems are two fundamental NP-hard problems in combinatorial optimization. It has been known for a long time that any instance of the stable set probl...
126
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...