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The batch-mode group lasso algorithms suffer from the inefficiency and poor scalability, and online learning algorithms for group lasso, is a promising tool for attacking the large-scale problem. However, the low time complexity of current online algorithm often be accompanied by low convergence rate, and the faster convergence rate is a key problem to guarantee the online learning algorithms. We...
Ethnic Facial Feature is one of the most important face features. We create a face database of ethnic groups and extract facial features by using face recognition technology. In the feature extraction method, we adapt the algebra and geometry features from face database. In algebra features, LDA algorithm extracting the algebraic features of human face images is used. The paper also constructs a new...
Abstract-Community network discovery algorithm requires many different community network data to evaluate the algorithm performance. The data sets currently we use are from the reality. During the experiment, these data sets require a large number of pre-work, but the range of their parameters is relatively limited. This paper presents two random community network generation algorithms. They can respectively...
To address the problem of space locus searching, a slowdown particle swarm optimization (SPSO) is proposed to improve the convergence performance of particle swarm from the position viewpoint. The particle swarm in SPSO is divided into many independent sub-swarms to guarantee that particles convergent to different position, since space locus has multiple optimal solutions and requires the convergence...
In CFD simulation of diesel combustion, the predictive capabilities of the spray model play the most important role. Consequently, under the strict guidelines of the V&V, a method to adjust parameters of diesel spray model WAVE to accompany with the in-cylinder physical progress has been investigated in this paper. Moreover, the simulation of the spray has been validated by high-speed photography...
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