Many high dimensional classification techniques have been proposed in the literature based on sparse linear discriminant analysis (LDA). To efficiently use them, sparsity of linear classifiers is a prerequisite. However, this might not be readily available in many applications and rotations of data are required to create the needed sparsity. In this paper, we propose a surprisingly simple rotat...

(nil) = nil sigperm(x :: xs) = append(sigrot(x; x); sigperm(xs)) sigrot(x; nil) = nil sigrot(u; x :: xs)) = cond(issig(u); u :: sigrot(rotate(u); xs); sigrot(rotate(u); xs)) 4.4 Third transformation step Our objective is to get rid of the costly occurrences of append in sigperm. We introduce the new denition: sr(x; y; u) = append(sigrot(x; y); u) and the theorem: The complete denition of sigper...

This paper proposes a novel user interface for semi-automatic parking assistance system, which automates steering handling during parking operation. In spite of recent progresses of automatic target position designation method, manual designation is supposed to have two important roles. First, manual designation can be used to refine the target position established by automatic designation meth...

We present a method for self-calibration of a camera which is free to rotate and change its intrinsic parameters, but which cannot translate. The method is based on the so-called infinite homography constraint which leads to a non-linear minimisation routine to find the unknown camera intrinsics over an extended sequence of images. We give experimental results using real image sequences for whi...