A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
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 ...
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
—Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that...