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JMLR
2012
13 years 9 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking the NEWUOA on the BBOB-2009 noisy testbed
The NEWUOA which belongs to the class of DerivativeFree optimization algorithms is benchmarked on the BBOB2009 noisy testbed. A multistart strategy is applied with a maximum numbe...
Raymond Ros
TIP
2008
85views more  TIP 2008»
15 years 6 months ago
Resource Allocation for Error Resilient Video Coding Over AWGN Using Optimization Approach
The number of slices for error resilient video coding is jointly optimized with 802.11a-like media access control and the physical layers with automatic repeat request and rate com...
Cheolhong An, Truong Q. Nguyen
175
Voted
CVPR
2009
IEEE
17 years 1 months ago
Learning Rotational Features for Filament Detection
State-of-the-art approaches for detecting filament-like structures in noisy images rely on filters optimized for signals of a particular shape, such as an ideal edge or ridge. W...
François Fleuret, Germán Gonzá...
155
Voted
ICPR
2008
IEEE
16 years 1 months ago
Augment document image binarization by learning
Conventional Binarization methods try to obtain optimal results based on the single image only. They make distinct diversity of binarization quality sometimes even for images of t...
Yuanping Zhu