Two cases of power dissipation reduction with postfabrication adjustment using genetic algorithms are introduced in this paper. The first is a 1GHz ALU implementation, where power consumption has been reduced by 54% through clock-timing adjustment. The second case is the IF (Intermediate Frequency) filter analog LSI used in cellular phones, where the reduction in power dissipation is realized b...

For better background modeling in scenes with nonstationary background, a background modeling algorithm based on adaptive parameter adjustment of the Mixture Gaussian is proposed. Mixture Gaussians is applied to learn the distribution of per-pixel in the temporal domain and to control adaptive adjustment of number K of Gaussian components through in increasing, deleting or merging similar Gauss...

The correction is in two parts. See [3] for more information on the correction. 1. The LPEadj method discontinues the LPE practice of setting all variances below the maximum variance in the ordered distribution of variances to the maximum variance. In certain cases this practice can set many variances to the maximum and lower the performance of this algorithm. If the assumption that there are o...

To recognize an object in an image, the user must apply a combination of operators, where each operator has a set of parameters. These parameters must be “well” adjusted in order to reach good results. Usually, this adjustment is made manually by the user. In this paper we propose a new method to automate the process of parameter adjustment for an object recognition task. Our method is based on...