Discrete event simulations often require a future event list structure to manage events according to their timestamp. The choice of an efficient data structure is vital to the per...
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...
A new anatomical database, My Corporis Fabrica (MyCF), is presented. It extends the reference anatomical ontology FMA (the Foundational Model of Anatomy) with the possibility to co...
Olivier Palombi, Guillaume Bousquet, David Jospin,...
Developing a robust, flexible, closed-loop walking algorithm for a humanoid robot is a challenging task due to the complex dynamics of the general biped walk. Common analytical ap...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...