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Detecting foreground objects for night surveillance videos remains a challenging problem in scene understanding. Though many efforts have been made for robust background subtraction and robust object detection respectively, the complex illumination condition in night scenes makes it hard to solve each of these tasks individually. In practice, we see these two tasks are coupled and can be combined...
Based on the non-homogeneity validation method, the hyper-parameter optimization of general regress model on fMRI brain data is analyzed. To acknowledge the abilities of different regression methods we compare ridge regression, support vector regression and Elman recurrent neural network over several feature rating sequences. The original data is obtained from PBAIC2006. Experiment results show that...
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