ominous
发表于 2025-3-21 17:42:24
书目名称Mathematical Methods in Image Processing and Inverse Problems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0626262<br><br> <br><br>书目名称Mathematical Methods in Image Processing and Inverse Problems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0626262<br><br> <br><br>
魅力
发表于 2025-3-21 21:55:04
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forebear
发表于 2025-3-22 02:55:41
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Chivalrous
发表于 2025-3-22 06:05:43
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施魔法
发表于 2025-3-22 11:14:09
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易受骗
发表于 2025-3-22 13:14:52
A New Initialization Method for Neural Networks with Weight Sharing, initialization. In this paper we will propose a new initialization method which will increase training speed and training stability of neural networks with heavy weight sharing. We will also propose a simple yet efficient method to adjust learning rates layer by layer which is indispensable to our initialization.
使迷醉
发表于 2025-3-22 20:24:18
The Shortest Path AMID 3-D Polyhedral Obstacles,We use the gradient descent method in conjunction with Intermittent Diffusion (ID), a global optimization strategy, to deduce SDEs for the globally optimal solution. Compared to the existing methods, our algorithm is efficient, easier to implement, and able to obtain the solution with any desirable precisions.
Climate
发表于 2025-3-23 00:50:08
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GOUGE
发表于 2025-3-23 01:34:04
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REIGN
发表于 2025-3-23 09:09:40
A Total Variation Regularization Method for Inverse Source Problem with Uniform Noise,le, the optimization problem is further converted into a minimax problem. Then first order primal-dual method is applied to find the saddle point of the minimax problem. Numerical examples are given to demonstrate that our proposed method outperforms the other testing methods.