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133
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ICASSP
2010
IEEE
15 years 3 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
98
Voted
ECCV
2000
Springer
16 years 5 months ago
IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus
Philip H. S. Torr, Colin Davidson
128
Voted
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
15 years 10 months ago
Fast Point Feature Histograms (FPFH) for 3D registration
— In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point clo...
Radu Bogdan Rusu, Nico Blodow, Michael Beetz
116
Voted
ISMB
1997
15 years 5 months ago
Increasing Consensus Accuracy in DNA Fragment Assemblies by Incorporating Fluorescent Trace Representations
We present a new method for determining the consensus sequence in DNA fragment assemblies. The new method, Trace-Evidence, directly incorporates aligned ABI trace information into...
Carolyn F. Allex, Schuyler F. Baldwin, Jude W. Sha...
130
Voted
CDC
2010
IEEE
173views Control Systems» more  CDC 2010»
14 years 10 months ago
Corrective consensus: Converging to the exact average
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...