—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
Christopher Sentelle, Michael Georgiopoulos, Georg...
—In this paper we introduce a new 3D automatic registration method based on Gaussian fields and energy minimization. The method defines a simple ∞ C energy function, which is c...
Faysal Boughorbel, Andreas Koschan, Mongi A. Abidi
— It is well known that the performance of adaptive beamformers may degrade in the presence of steering errors. In this context, diagonal loading is one of the most popular metho...
: In this paper, we study the parameter estimation problem in a general heteroscedastic linear system, by putting the problem in the framework of the bilinear approach to low-rank ...
This paper proposes a novel method for global registration based on matching 3D medial structures of unorganized point clouds or triangulated meshes. Most practical known methods ...
Ming-Ching Chang, Frederic F. Leymarie, Benjamin B...