In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
This work describes a novel method for statistical analysis of multi-material components. The application scenario is industrial 3D X-ray computed tomography, emphasizing metrolog...
- We present a software tool for high-level design and analysis of large-scale embedded real-time software, which has been integrated into a vehicle control platform development to...
Xiaofeng Yin, Daniel L. Kiskis, Daniel Mihalik, Ka...
This work points out advantages for the application of fuzzy logic in organization analysis and control. From the presented motivations we propose both a managerial control cycle ...