Mats Stefan Carlin

TL;DR: This work proposes to use an approximate Hausdorff measure in the dimension D to estimate the complexity of non-fractal objects to reduce the uncertainty in the divider-step method.

TL;DR: In this article, a method and system for confirming uncertainly recognized words as reported by an Optical Character or speech recognition process by using spelling alternatives as search arguments for an Internet search engine is presented.

TL;DR: In this article, a method, system and/or a digital camera providing a geometrical transformation of deformed images of documents comprising text, by text line tracking, resulting in an image comprising parallel text lines.

TL;DR: Results from practical experiments with four different data modelling methods evaluated on five different real or simulated modelling problems show partial least squares regression, back-propagation multilayer perceptron neural networks, radial basis function neural networks (RBF), and an adaptive B-spline modelling algorithm (ASMOD) have the capability of identifying and representing general non-linear dependencies in the data.

TL;DR: The experimental results give some guidelines on how the confidence estimation methods should be used in the application, which is to predict rock porosity values from seismic data for oil reservoir characterisation.