Maximilian Münch

Maximilian Münch
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt | FHWS · Faculty of Computer Science and Business Information Systems

About

12
Publications
585
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21
Citations

Publications

Publications (12)
Article
High throughput sequencing technology leads to a significant increase in the number of generated protein sequences and the anchor database UniProt doubles approximately every two years. This large set of annotated data is used by many bioinformatics algorithms. Searching within these databases, typically without using any annotations, is challengin...
Preprint
Full-text available
Matrix approximations are a key element in large-scale algebraic machine learning approaches. The recently proposed method MEKA (Si et al., 2014) effectively employs two common assumptions in Hilbert spaces: the low-rank property of an inner product matrix obtained from a shift-invariant kernel function and a data compactness hypothesis by means of...
Chapter
Over the last two decades, kernel learning attracted enormous interest and led to the development of a variety of successful machine learning models. The selection of an efficient data representation is one of the critical aspects to get high-quality results. In a variety of domains, this is achieved by incorporating expert knowledge in the used do...
Article
Full-text available
Life science data are often encoded in a non-standard way by means of alpha-numeric sequences, graph representations, numerical vectors of variable length, or other formats. Domain-specific or data-driven similarity measures like alignment functions have been employed with great success. The vast majority of more complex data analysis algorithms re...
Conference Paper
Proximities are at the heart of almost all machine learning methods. In a more generic view, objects are compared by a (symmetric) similarity or dissimilarity measure, which may not obey particular mathematical properties. This renders many machine learning methods invalid, leading to convergence problems and the loss of generalization behavior. In...
Conference Paper
The increasing availability of wireless networks inside buildings has opened up numerous opportunities for new innovative smart systems. For a lot of these systems, acquisition of context-sensitive information about attendant people has evolved to a key challenge. Especially the position and distribution of attendants significantly influence the sy...
Conference Paper
In an era of smart information systems and smart buildings, detecting, tracking and identifying the presence of attendants inside of enclosed rooms have evolved to a key challenge in the research area of smart building systems. Therefore, several types of sensing systems were proposed over the past decade to tackle these challenge. Depending on the...

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