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» Dimensionality reduction and generalization
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155
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FSTTCS
1991
Springer
15 years 7 months ago
Randomizing Reductions of Search Problems
This paper closes a gap in the foundations of the theory of average case complexity. First, we clarify the notion of a feasible solution for a search problem and prove its robustne...
Andreas Blass, Yuri Gurevich
114
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ACL
2003
15 years 5 months ago
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
Yunbo Cao, Hang Li, Li Lian
133
Voted
CSDA
2006
169views more  CSDA 2006»
15 years 3 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
IJCV
2006
100views more  IJCV 2006»
15 years 3 months ago
A General Framework for Combining Visual Trackers - The "Black Boxes" Approach
Abstract. Over the past few years researchers have been investigating the enhancement of visual tracking performance by devising trackers that simultaneously make use of several di...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
135
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CVPR
2000
IEEE
16 years 5 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer