Automatic sign language recognition inspired by human sign perception

Automatic sign language recognition is a relatively new field of research (since ca. 1990). Its objectives are to automatically analyze sign language utterances. There are several issues within the research area that merit investigation: how to capture the utterances (cameras, magnetic sensors, instrumented gloves), how to extract interesting...

Improving breast cancer outcome prediction by combining multiple data sources

Cancer has recently become the number one cause of death in The Netherlands. Breast cancer is the most prevalent form of cancer among females, with a lifetime risk of 12.8% (i.e. the 1 in 8 rule). As a result, more and more research is devoted to getting a better insight into cancer, and to further develop strategies for personalized treatment....

Gesture Recognition by Computer Vision: An Integral Approach

The fundamental objective of this Ph.D. thesis is to gain more insight into what is involved in the practical application of a computer vision system, when the conditions of use cannot be controlled completely. The basic assumption is that research on isolated aspects of computer vision often leads to `too' general solutions. That these...

Inferring the influence of cultivation parameters on transcriptional regulation

Exactly how an organism adapts its transcriptional program in response to intra- and extracellular signals remains elusive. Development of computational approaches that use the large amounts of diverse intracellular data to unravel the cell's transcriptional program is one of today's main challenges in bioinformatics research. This thesis...

Supervised classification and spatial dependency analysis in human cancer using high throughput data

Relevance models for collaborative filtering

Operating characteristics for the design and optimisation of classification systems

In statistical pattern recognition, problems involve distinguishing of various concepts or classes, based on the development of classifiers/discriminators. These exploit discriminatory information existing in measurements originating from objects. A trained classifier results in a partitioning in measurement space, providing some separation...

Learning to recognise: A study on one-class classification and active learning

The thesis treats classification problems which are undersampled or where there exist an unbalance between classes in the sampling. The thesis is divided into three parts. The first two parts treat the problem of one-class classification. In the one-class classification problem, it is assumed that only examples of one of the classes, the target...