We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whil...
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
We present a new algorithm for the computation of volumetric intersections of geometrically complex objects, which can be used for the efficient detection of collisions. Our appr...
Bruno Heidelberger, Matthias Teschner, Markus H. G...
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
ABSTRACT. The design of spatial coordination mechanisms for dynamical and continuous multiagent setting is a difficult challenge. While the top-down decomposition approach is ineff...