In the machine learning community it is generally believed that graph Laplacians corresponding to a finite sample of data points converge to a continuous Laplace operator if the s...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
This paper presents a non-rigid registration method for the restoration of double-sided historical manuscripts. Firstly, the gradient direction maps of the two images of a manuscr...
This paper presents a simple linear operator that accurately estimates the position and parameters of ellipse features. Based on the dual conic model, the operator avoids the inte...
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
To deal with the frequent, foreseeable and variable disconnections that occur in a mobile environment, we introduce a exible, two-level consistency model. Semantically related or ...