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Biometric identification system has high efficiency, high recognition rate and comfortable to the user's operating characteristics. Palmprint recognition is considered the most viable and reliable biometric recognition technique owing to its merits, such as low cost, user friendliness, high speed and high accuracy. Region-of-Interest (ROI) segmentation of(More)
In this paper, an efficient novel strategy simulating time scenes of an o utdoor scene is introduced. It is a hybrid approach combining the multiple regression in statistic, the discrete cosine transform, and a look-up table algorithm. First, several color-block images taken at different times of a day were used as the testing images to create the reference(More)
BACKGROUND The aim of this study is to evaluate whether geographic variations in the prevalence of late-stage chronic kidney disease (CKD) exist and are associated with incidence rates of renal cell carcinoma (RCC), upper tract urothelial carcinoma (UTUC), or lower tract urothelial carcinoma (LTUC). METHODS Prevalence rates of late-stage CKD for 366(More)
In this paper, a novel strategy for forecasting outdoor scenes is introduced. It is an approach combining the support vector regression in neural network computation, the discrete cosine transform. In 1995, Vapnik first introduced a neural-network algorithm called support vector machine (SVM). During recent years, due to SVM's high generalization(More)
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