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CVPR
2008
IEEE
16 years 9 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding
176
Voted
ICIP
2003
IEEE
16 years 8 months ago
A refined ICP algorithm for robust 3-D correspondence estimation
Robust registration of two 3-D point sets is a common problem in computer vision. The Iterative Closest Point (ICP) algorithm is undoubtedly the most popular algorithm for solving...
Heinrich Niemann, Jochen Schmidt, Timo Zinße...
ECCV
2004
Springer
16 years 8 months ago
Evaluation of Robust Fitting Based Detection
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
169
Voted
ICML
2000
IEEE
16 years 7 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
167
Voted
DSN
2003
IEEE
16 years 5 days ago
On the Design of Robust Integrators for Fail-Bounded Control Systems
This paper describes the design and evaluation of a robust integrator for software-implemented control systems. The integrator is constructed as a generic component in the Simulin...
Jonny Vinter, Andréas Johansson, Peter Folk...