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Single training sample for face recognition technology has become one of the important topics in the field of computer vision, and presents various challenges and opportunities. In this paper, an improved method based on discriminative multi-manifold analysis (DMMA) algorithm is proposed for the single training sample problem in face recognition. The major(More)
PURPOSE To retrospective assess the potential predictors for relapse and create an effective clinical mode for surveillance after orchidectomy in clinical stage I non-seminomatous germ cell testicular tumors (CSI-NSGCTs). MATERIALS AND METHODS We analyzed data for CSI-NSGCTs patients with non-lymphatic vascular invasion, %ECa < 50% (percentage of(More)
Grid-connected distributed PV system has become an important utilization of solar energy, but it has adverse effects on the load characteristics, power quality and stability of regional power grids for its randomness and volatility. In order to reflect the influence of grid-connected distributed PV on the load characteristics of regional power grids(More)
According to different working environment, robots have to configure different sensors. One of the most important is vision sensor. The visual perception is capturing and processing images or image sequences of around environment by vision sensors and computers. Currently, sparse representation and optimization is hot research point in the visual perception(More)
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