… According to the trend of imaging technology, we put forward prospectively the design
idea of computational optical system based super large-aperture telescopes. Since CIT has …

… One of the main differences between the approaches is that … In traditional tasks of
machine learning, statistical and … -based ASA framework, the effectiveness and the efficiency …

… spectrum utilization efficiency, strengthening spectrum … 性特 征,将压缩感知(CS, compressive
sensing)[61-62]理 论应用… 全问题转化为基于全变分(TV, total variation) 模型[66-67]的受…

… An exact comparison between totals of dives and dive days from year to year could be …
between successive sets of annual data are those trends reflected by mission category statistics…

… Comparison between the computer simulations of the lifespan of three CBA-blown bubbles
… Comparison between the computer simulations of the lifespan of three CBA-blown bubbles …

… and disadvantages, and performance analysis of deep learning … 而在文献[128]中作者使用总
变差 (total variation, TV)代替偏… convolutional neural networks and compressed sensing end-to…

… Abstract Detection of ship wakes in SAR images is helpful not only in estimating the speed
… , 通常在 式(9) 中加入全变分(Total variation, TV) 正则项 xs TV = ∇xs 1, 即xs 梯度的l1 范数, 使…

目的 采用最小二乘支持向量机建立煤粉锅炉NOx 排放模型,即建立输入参数与NOx 之间的关系.合理
选择输入参数不仅会降低模型的复杂度,而且会提高模型的精度.为此,本文探讨各输入参数对…

… The data are statistically processed using non-parametric statistics. Statistical analysis was
… Differences between groups were considered statistically significant at p< 0.05. Results and …

… , statistical, and sparse regression-based approaches. … Total variation spatial regularization
for sparse hyperspectral unmixing. IEEE Transactions on Geoscience and Remote Sensing, …