We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under varying pose. Our approach integrates both depth and intensity information in a common frame...
Tadas Baltrusaitis, Peter Robinson, Louis-Philippe...
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
: We address the question of how to communicate among distributed processes values such as real numbers, continuous functions and geometrical solids with arbitrary precision, yet e...
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
Abstract. The standard choice for mutating an individual of an evolutionary algorithm with continuous variables is the normal distribution. It is shown that there is a broad class ...
We study the convergence rates of neighbor-joining and several new phylogenetic reconstruction methods on families of trees of bounded diameter. Our study presents theoretically ob...
Luay Nakhleh, Usman Roshan, Katherine St. John, Je...