Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Despite being routinely required in medical applications, deformable surface registration is notoriously difficult due to large intersubject variability and complex geometry of mos...
Ilya Eckstein, Anand A. Joshi, C. C. Jay Kuo, Rich...
Multi-reference frame motion estimation improves the accuracy of motion compensation in video compression, but it also dramatically increases computational complexity. Based on tr...
Conventional fault simulation techniques for FPGAs are very complicated and time consuming. The other alternative, FPGA fault emulation technique, is incomplete, and can be used o...
Mehdi Baradaran Tahoori, Subhasish Mitra, Shahin T...