The “Parametric Prototype” has been developed as a tool for integrated parametric and physical shape representation to optimize styling and design. This tool will be applied in the early phases of the product development process at an appropriate level of detail, e.g. for the fast visualization of car parameters and proportions of the exterior car body. The development comprises a method that c...

Helma Wennemers HW received her master (Diploma) degree in chemistry from the University of Frankfurt in 1993 and her PhD degree from Columbia University New York in 1996. After two years as a postdoctoral researcher at Nagoya University, she joined the faculty at the University of Basel where she is now associate professor of chemistry. Her research focuses on the use of peptides in supramolec...

This paper identifies the problem of analyses of message content as one of making specific inferences from recorded text to characteristics of a source that are not directly observable. The problem is common to a variety of analytical situations in the humanities and in the social sciences; and the way adequate solutions are found therefore deserves systematic attention. Choices among investiga...

In this paper, a new competition strategy for learning vector quantization is proposed. The simple competitive strategy used for learning vector quantization moves the winning prototype which is the closest to the newly given data pattern. We propose a new learning strategy based on k-nearest neighbor prototypes as the winning prototypes. The selection of several prototypes as the winning proto...

In this paper we discuss the importance to create prototypes automatically within medical Case-based Reasoning systems. We present some general ideas about prototypes deduced from analyses of our experiences with prototype designs in domain specific medical CBR systems. Four medical Case-based Reasoning systems are described. As they use prototypes for different purposes, the gained improvement...

In this paper we discuss the importance to create prototypes automatically within Case-Based Reasoning systems. We present some general ideas about prototypes deduced from analyses of our experiences with prototype designs in domain specific medical CBR systems. Although we can only argue for the usefulness of prototypes in medical domains, we believe the same goes for some other domains as wel...

Current video database systems are able to manipulate syntactic aspects of temporal media like video and audio. However, few of these systems are able to manipulate video information according to its semantic content. Furthermore, manually describing video content is tedious and not practical for the video data due to the temporal, spatial, and massive characteristic of the video, meanwhile con...

Wearable devices are being explored and investigated as a promising computing platform as well as a source of personal big data for the post smartphone era. To deal with a series of rapidly developed wearable prototypes, a well-structured strategy is required to assess the prototypes at various development stages. In this paper, we first design and develop variants of advanced wearable user int...

Learning Vector Quantization (LVQ) are popular multi-class classification algorithms. Prototypes in an LVQ system represent the typical features of classes in the data. Frequently multiple prototypes are employed for a class to improve the representation of variations within the class and the generalization ability. In this paper, we investigate the dynamics of LVQ in an exact mathematical way,...

We consider the problem of reducing a potentially very large dataset to a subset of representative prototypes. Rather than searching over the entire space of prototypes, we first roughly divide the data into balanced clusters using bisecting k-means and spectral cuts, and then find the prototypes for each cluster by affinity propagation. We apply our algorithm to text data, where we perform an ...