We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
This paper describes a way of designing modulation filter by datadriven analysis which improves the performance of automatic speech recognition systems that operate in real envir...
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common ...
Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Tho...
This paper aims at describing the architectural model of an adaptive force-feedback for a By Wire steering wheel system. This solution uses a steering wheel to replicate the reacti...
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...