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ICRA
2009
IEEE
210views Robotics» more  ICRA 2009»
14 years 10 months ago
An adaptive-scale robust estimator for motion estimation
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
161
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JMLR
2010
173views more  JMLR 2010»
14 years 7 months ago
Conditional Density Estimation via Least-Squares Density Ratio Estimation
Estimating the conditional mean of an inputoutput relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution ...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...
198
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Lecture Notes
699views
17 years 1 months ago
Density Estimation: Nonparametric Techniques
Density estimation using nonparametric techniques by Aly A. Farag and Gimel'farb.
Aly A. Farag, Gimel'farb
101
Voted
ICASSP
2010
IEEE
15 years 27 days ago
Optimized intrinsic dimension estimator using nearest neighbor graphs
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
EUSFLAT
2009
103views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
Possibility Distribution: a unified representation for parameter estimation
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
Gilles Mauris