An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...
Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV...
Yi Yao, Chung-Hao Chen, Besma R. Abidi, David L. P...
Security and sustainability are two critical global challenges that involve the interaction of many intelligent actors. Game theory provides a sound mathematical framework to model...
Rong Yang, Milind Tambe, Manish Jain, Jun-young Kw...
We propose an algorithm creating consistent, dense disparity maps from incomplete disparity data generated by a conventional stereo system used in a wide-baseline configuration. T...