It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
We present a dynamic optimization technique, thread warping, that uses a single processor on a multiprocessor system to dynamically synthesize threads into custom accelerator circ...
We investigate the use of hierarchical Gaussian shortlists to speed up Gaussian likelihood computation. This approach is a combination of hierarchical Gaussian selection and stand...
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...
We present an uncalibrated projector-camera system in which the information displayed onto a planar screen can be interactively warped according to an arbitrary planar homography. ...