Material limitations and fabrication costs generally run at odds with the creativity of architectural design, producing a wealth of challenging computational geometry problems. We...
In this paper we analyze and extend a recently developed "task-swapping procedure" for improving schedules in oversubscribed situations. In such situations, there are ta...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
Many installations research efforts today explore how to engage participants with embedded digital content and applications in interactive environments. Yet the interactive design...
At present there exists a large gap in size, performance, adaptability and robustness between natural and artificial information processors for performing coherent perception-act...