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MCALabWithUtilities
MCA算法源程序，可用于稀疏分解，信号分类，图像修复，信号还原(MCA algorithm source code can be used for sparse decomposition, signal classification, image restoration, signal reduction)
- 2011-08-31 16:23:49下载
- 积分：1
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file-transfer
matlab程序，远程监控系统中远程文件传输的代码，包括传输双方的代码(matlab program, the remote monitoring system, remote file transfer code, including the code of the transmission of both)
- 2013-03-10 20:11:15下载
- 积分：1
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C-CPP
C++ balagurswamy E-Book for new beginners in c++.
- 2014-01-20 13:55:44下载
- 积分：1
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Notes_Prep_Guide
These notes were prepared from the The CISSP Prep Gu ide: Mastering the Ten Domains of Computer
Security by Ronald L. Krutz, Russell Dean Vines, Edward M. Stroz and are not intended to be a
replacement to the book.(These notes were prepared from the The CISSP Prep Gu ide: Mastering the Ten Domains of Computer Security by Ronald L. Krutz, Russell Dean Vines, Edward M. Stroz and are not intended to be a replacement to the book.)
- 2010-09-27 13:09:22下载
- 积分：1
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SimulationsforRadarSystem
雷达系统仿真的书和程序，对于写论文很有帮助的。特别是程序很有参考价值(Radar system simulation of books and procedures for writing papers helpful. Program was useful in particular)
- 2010-11-15 09:39:13下载
- 积分：1
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HW3
MATLAB Garch using example
- 2014-02-06 02:20:09下载
- 积分：1
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1807.01622
说明： 深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)
- 2020-06-23 22:20:02下载
- 积分：1
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intrinsic_image
通过输入连续的图像序列，得到本证图像：包括reflectance 和 shading image(Deriving intrinsic images from image sequences)
- 2009-10-23 14:43:10下载
- 积分：1
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byumav
国外一模型无人机仿真程序，适合初学者研究。(A foreign model UAV simulation program)
- 2021-03-01 22:39:34下载
- 积分：1
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regularization
radial basisi function
- 2010-02-02 18:25:19下载
- 积分：1
