We investigate the truth-table degrees of (co-)c.e. sets, in particular, sets of random strings. It is known that the set of random strings with respect to any universal prefix-free machine is Turing complete, but that truthtable completeness depends on the choice of universal machine. We show that for such sets of random strings, any finite set of their truth-table degrees do not meet to the d...

Abstract : An $l_\infty$ norm based Source Separation Method has recently been introduced, with the corresponding subgradient based algorithm that has a simple update rule. In this article, we propose a moving window modification to this algorithm, where instead of a long fixed window, a shorter length moving window is used. The simulation results for different blind source separation setups su...

Speech de-noising algorithms often suffer from introduction of artifacts, either by removal of parts of the speech signal, or imperfect noise reduction causing the remaining noise to sound unnatural and disturbing. This contribution proposes to spatially distribute monaural noisy speech signals based on single-channel source separation, in order to improve the perceived speech quality. Stereo u...

Very often data we encounter in practice is a collection of matrices rather than a single matrix. These multi-block data are naturally linked and hence often share some common features and at the same time they have their own individual features, due to the background in which they are measured and collected. In this study we proposed a new scheme of common and individual feature analysis (CIFA...

The large size of multiscale, distribution and transmission, power grids hinder fast system-wide estimation and real-time control and optimization of operations. This paper studies graph reduction methods of power grids that are favourable for fast simulations and follow-up applications. We present systematic techniques that reduce the grid size while preserving basic functionality in the reduc...

The use of Vector Space Models (VSM) in the area of Information Retrieval is an established practice, thanks to its very clean and solid formalism that allows us to easily represent objects in a vector space and to perform calculations on them. The goal of this work is to investigate the impact of VSM on Recommender Systems (RS) performance. Specifically, we will introduce two approaches: the f...

This report uses examples from two flight deck based case studies to illustrate how to use the THEA technique for carrying out a human error analysis during early design. The aim is that this document should accompany a one day tutorial and should be sufficient to capture the essence of the design method. This document introduces material that is an evolution of the THEA techniques and includes...

Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training data for all of the sources are available, it is trivial to learn their dictionaries beforehand and perform supervised source separation in an online fashion. However, in many real-world scenarios (e.g. speech denoisin...

Purpose – To provide a sound discussion on the Six Sigma methodology and see how it fits in with other quality initiatives. Design/methodology/approach – A conceptual paper that takes at in-depth look at the origins, pros and cons of Six Sigma and how it relates to some of the other quality initiatives in industry. Findings – The immediate goal of Six Sigma is defect reduction. Reduced defects ...

The paper presents an algorithm for identifying the independent subspace analysis model based on source dynamics. We propose to separate subspaces by decoupling their dynamic models. Each subspace is extracted by minimizing the prediction error given by a first-order nonlinear autoregressive model. The learning rules are derived from a cost function and implemented in the framework of denoising...