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a
说明： 该程序计算元胞自动机凝聚扩散的实例，附加判断二维数组的元素及其个数(The program calculated the proliferation of cellular automata examples of cohesion, the additional two-dimensional array to determine the number of elements and their)
- 2009-12-06 11:01:10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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Newtonmethod
牛顿方法优化算法可以用于多方面的例子，很不错。(Newton method for optimization algorithm can be used for a wide range of examples, very good.)
- 2009-12-25 10:51:01下载
- 积分：1
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RD
说明： 合成孔径雷达 距离多普勒算法 RDA
sar距离多普勒算法RDA
sar距离多普勒算法RDA(sar RDA)
- 2013-10-09 23:01:09下载
- 积分：1
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GaborPMatlab
使用matlab编写的gabor 滤波，可用于指纹图像处理，经本人验证通过的。(gabor lvbo)
- 2011-11-15 21:17:32下载
- 积分：1
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PGZ.m
Reed Solomon decoding algorithm
- 2014-02-20 00:47:15下载
- 积分：1
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SoftstartTest
Simulink model of basic Sorft starter
- 2010-01-28 17:31:21下载
- 积分：1
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sysstop_new
matlab仿真控制仿真时间的程序段,简单方便的在matlab界面控制仿真停止时间。(matlab simulation control simulation time block, simple and convenient interface control in matlab simulation stop time.)
- 2013-09-25 10:40:51下载
- 积分：1
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dct1_embed
Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]
- 2012-03-31 23:41:52下载
- 积分：1
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viterbisim
Computer vision experiments 4- to step in the preparation of cany use of edge detection operator used to compare the Matlab
- 2014-11-26 17:20:24下载
- 积分：1
