This paper continues the movement from technology centered to human centered approaches in the study of tasks that involve finding, understanding, and using information, and tools...
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL) divergence, or -divergence, to fluid registration of diffusion tensor images. The difference b...
Ming-Chang Chiang, Alex D. Leow, Andrea D. Klunder...
To investigate the nature of people’s understandings for how search engines work, we collected data from 232 undergraduate and graduate students. Students were asked to “draw ...
Aiming to clarify the convergence or divergence conditions for Learning Classifier System (LCS), this paper explores: (1) an extreme condition where the reinforcement process of ...
We develop a system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, we collect a large number of query sketches from human users that a...
Mathias Eitz, Ronald Richter, Tamy Boubekeur, Kris...