The use of the Operation Process Simulation (OPS) for Six Sigma Projects (SSP) can illustrate visual display of the process by enabling to define, measure, analyze and improve the...
We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography. We consider three reconstruction techniques: Fourier, iter...
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
In this paper we propose a novel classification algorithm that fits models of different complexity on separate regions of the input space. The goal is to achieve a balance betwee...
Ricardo Vilalta, Murali-Krishna Achari, Christoph ...
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...