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Considering the nonlinear and uncertainty in the MINS/GNSS navigation system, a nonlinear Sage-Husa noise maximum posterior estimator was designed. Since the estimator cannot solve problems both of system noise and observation, a Bi-parallel BP neural network controller is designed to approximate the estimator. Then an adaptive UKF algorithm based on Bi-parallel neural network is proposed. In the...
Approximate string matching using the k-difference technique has been widely applied to many fields such as pattern recognition and computational biology. Data dependency exists in the traditional sequential algorithm. Therefore, it is hard to design a parallel algorithm for approximate string matching with k differences. This paper presents a technique to eliminate data dependency. Based on this...
Several new algorithms for stereo matching based on graph cuts have recently been developed for pixel-labeling tasks such as depth. Such problem can be expressed as Markov random fields, yet the resulting energy minimization problems have been widely viewed as intractable. In this paper, we describe energy minimization based on graph cuts. The data term of energy function adopts three different approaches...
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