In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed āmanifold-motivatedā...
In the machine learning community it is generally believed that graph Laplacians corresponding to a ļ¬nite sample of data points converge to a continuous Laplace operator if the s...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
Ubiquitous computing promises to enable new classes of application. In this paper, we present research intended to accelerate the exploration of the space of possible application ...
Abstract. Offset assignment is a highly effective DSP address code optimization technique that has been implemented in a number of ANSI C compilers. In this paper we concentrate on...
We present randomized and deterministic algorithms for many-to-one routing on an n-node two-dimensional mesh under the store-and-forward model of packet routing. We consider the g...