One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
In this paper, we propose a robust method to estimate the fundamental matrix in the presence of outliers. The new method uses random minimum subsets as a search engine to find inli...
In hands-free communications, speech received by a microphone is distorted by room reverberation that can reduce the intelligibility of speech. An approach to dereverberation is ï...
Wancheng Zhang, Emanuel A. P. Habets, Patrick A. N...
Tractor-trailer reversing is a classical non-linear control problem in which many of the solutions proposed in the literature perform poorly in the presence of real-world constrai...
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...
Jean-Philippe Tarel, Pierre Charbonnier, Sio-Song ...