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ICCV
2009
IEEE
16 years 2 months ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter
100
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SIGIR
1995
ACM
15 years 1 months ago
Noise Reduction in a Statistical Approach to Text Categorization
This paper studies noise reduction for computational efficiency improvements in a statistical learning method for text categorization, the Linear Least Squares Fit (LLSF) mapping...
Yiming Yang
CVPR
2011
IEEE
14 years 5 months ago
Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion
In this paper we reformulate the 3D reconstruction of deformable surfaces from monocular video sequences as a labeling problem. We solve simultaneously for the assignment of featu...
Chris Russell, Joao Fayad, Lourdes Agapito
108
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BMCBI
2008
214views more  BMCBI 2008»
14 years 8 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
15 years 2 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...