In this paper, we consider the unilateral frictional contact problem of a hyperelastic body in the case of large displacements and small strains. In order to retain the linear elasticity framework, we decompose the deformation into a large global rotation and a small elastic displacement. This co-rotational approach is combined with a primal-dual active set strategy to tackle the contact proble...

In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn feature information from training data. It finds the best facial feature locations by maximizing the joint distribution of location and texture parameters. We first introduce an independence assumption. Then, we improve upon this mo...

In virtual reality and teleoperation scenarios, active constraints can be used to guide a user, prevent him from entering forbidden regions, and assist him in general. On a haptic interface, this implies superimposing the forces generated by the active constraints on top of the forces that are generated by the environment (real or virtual). This creates the problem of distinguishing from which ...

The paper presents experiments with active learning methods for the acquisition of training data in the context of machine translation. We propose a confidencebased method which is superior to the state-of-the-art method both in terms of quality and complexity. Additionally, we discovered that oracle selection techniques that use real quality scores lead to poor results, making the effectivenes...

This paper considers the sparse Gaussian conditional random field, a discriminative extension of sparse inverse covariance estimation, where we use convex methods to learn a high-dimensional conditional distribution of outputs given inputs. The model has been proposed by multiple researchers within the past year, yet previous papers have been substantially limited in their analysis of the metho...

In this review, we intend to clarify the underlying ideas and the relations between various multigrid methods ranging from subset decomposition, to projected subspace decomposition and truncated multigrid. In addition, we present a novel globally convergent inexact active set method which is closely related to truncated multigrid. The numerical properties of algorithms are carefully assessed by...