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A transform domain algorithm using channel selecting is proposed for visual saliency in this paper. This algorithm is able to improve the accuracy of the traditional transform domain saliency detection while preserving their advantage of fast processing speed. Based on the image signature algorithm, we select the channels by calculating the correlation values between each channel. Then, the selected...
Structure learning of Bayesian Network (BN) is one of important topics in machine learning and widely applied in expert system. The traditional algorithms for structure learning are usually focused on the batch data in nature. It is difficult to learn the structure quickly from the huge amounts of data. But in many practical applications, the structure of BN should be learned by using time-series...
For conventional fuzzy control system in the process of control accuracy is low, this paper proposes a fuzzy control system offline to get fuzzy control table with Taylor interpolation algorithm, through online calculation control output of the system. Simulation results show that the method has fast response, no overshoot, steady-state error is small, the advantages of combining simulation examples...
Image registration is an important technology of image processing and has a broad application. Good adaptability, computing speed and registration accuracy are the basic requirements in image registration. In recent years, the image registration algorithm based on local invariant features is becoming a hot spot of research, such as the SIFT method is one of them. But the traditional SIFT algorithm...
A new method to achieve most luminous efficacy of LED mixing color is developed in this paper, and then algorithm simulation, samples design and validation of the results have been carried out. Compared with the traditional manual LED proportion calculation method, new LED proportion calculation method is optimized by artificial fish swarm algorithm (AFSA). As for AFSA with slow rate of convergence...
Non-negative Matrix Factorization (NMF) algorithm and its variations have been successfully applied to many fields, but how to set the characteristic dimension value and the sparse factors value to improve recognition accuracy has been puzzling the researchers. Until now, it is regretful that the rigorous algorithm doesn't appear. The purpose of this paper is not to improve existing NMF algorithm...
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