In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
Daniel Dornbusch, Robert Haschke, Stefan Menzel, H...
Determining the attachments of prepositions and subordinate conjunctions is a key problem in parsing natural language. This paper presents a trainable approach to making these att...
Many individuals diagnosed with autism and Down syndrome have difficulties producing intelligible speech. Systematic analysis of their voice parameters could lead to better unders...
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Through first-responder access to sensitive information for which they have not been pre-vetted, lives and property can be saved. We describe enhancements to a trusted emergency i...
Timothy E. Levin, Cynthia E. Irvine, Terry Benzel,...