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This paper addresses the image sequences reconstruction by l0 minimization, which is an NP-hard problem with high computational complexity. To solve it, we propose a novel recursive intelligent matching pursuit(RIMP) algorithm in this paper. The idea of RIMP lies in utilizing the recursive reconstruction to reduce the sparsity and applying the superiorities of intelligent optimization algorithm to...
In order to ensure the normal operation of water supply projects, especially long-distance water transmission pipeline (LDWTP), it is necessary to recognize and avoid potential risk events during its operation process. As the vagueness and correlation of risk indices usually have a significant impact on the risk assessment result, those indices with high similarity are found out and eliminated based...
Tax audit has vital influence on improving professional quality of tax team, impartial law enforcement and construction of a clean government. View of the complexity of performance evaluation of tax audit, this paper established the performance evaluation model of tax audit to select the various influential factors via gray-relation analysis. Based on artificial neural network, it built the performance...
With mobile video data traffic increasing, enhancing video quality of experience (QoE) has become an important issue. HTTP Adaptive Streaming (HAS) is a solution to give the user better experience by providing different video rates in changeable bandwidth. To infer the HAS QoE in LTE network, HAS engine we designed can produce video rates reflecting the viewer's subjective feeling adequately. Using...
Rapid modeling and model reusing has become an emergent problem to be solved in recent years, due to the sharp increasing popularity of character modeling. In this paper, we propose a combining-based method for rapid modeling the surface of three-dimensional character. We propose the algorithm for extracting the boundary points from the triangle mesh surface according to the characteristics of the...
Since reform and opening up, in China, economy is developed rapidly, while economic system is increasingly build up sophisticated. But as nowadays we are promoting green and efficiency, part of the manufacturing enterprises in China are still in need of improvement. The operation of green supply chain is limited by many factors, faced a lot of uncertainty, so the manufacturing industry is facing a...
The generalization ability of neural network is an important aspect affecting its application. Meanwhile, the selection of training samples has a great impact on this ability. In order to improve the completeness of training samples, a method of samples self-learning of BP neural network based on clustering is put forward in this paper. By using the method of clustering, new samples can be collected...
This paper is concerned with the theory and method of information retrieval for solving mass literature retrieval. The corresponding retrieval method for mass literature with the feature of huge capacity, rapid responding time limit is designed and the implementing process and relating algorithm is illustrated as well.
In a two-echelon supply chain under consignment contract with revenue sharing, firstly, the manufacturer reports his manufacturing cost to the retailer; secondly, for each item sold, the retailer deducts a percentage from the selling price and remits the balance to the supplier according to the manufacturer's manufacturing cost reported; thirdly, the supplier decides on the retail price and delivery...
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