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SIFTtutorial
展示David G. Lowe的SIFT算法。有很多解释说明。通俗易懂，适合初学者。(David G. Lowe displayed the SIFT algorithm. There are many explanations. User-friendly, suitable for beginners.)
- 2007-07-18 22:50:28下载
- 积分：1
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SOBI
说明： 一个关于联合对角化盲源分离算法的SOBI算法，非常好！！(One on the joint diagonalization for blind source separation algorithm SOBI algorithm, very good! !)
- 2021-04-09 17:18:59下载
- 积分：1
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8
MATLAB源程序：支持多重边的欧拉巡回的matlab程序(MATLAB source: Supports multiple edges Euler tour matlab program)
- 2013-08-27 18:32:59下载
- 积分：1
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sensorgroup
使用MATLAB从Android设备上的内置传感器采集传感器数据(Use MATLAB to acquire sensor data from built-in sensors on your Android device.
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- 2013-11-18 11:31:35下载
- 积分：1
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K08auto
附件中的pdf文件是韩国作者08年在Automatica上发表的文章。本代码给出了文章中定理1的线性矩阵不等式的求解程序，通过给定不同的a来求解最大的b,进而得到界定时滞系统的最小的椭圆。(Attached pdf file of 2008 in South Korea articles published in Automatica. This code is given in Theorem 1 article LMI solver through a given different to solve the biggest b, then get the minimum of delay systems defined ellipse.)
- 2013-11-06 16:26:07下载
- 积分：1
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1807.01622
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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fft_WD
利用快速傅立叶变换,在频域中实现脉冲压缩的matlab仿真程序()
- 2007-09-10 17:09:11下载
- 积分：1
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MI_thresholding
image thresholding otsu method
- 2009-05-01 23:01:51下载
- 积分：1
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noisex-92
标准NOISEX-92噪声库，对于声音信号分析的人有用。(Standard noise NOISEX-92 library, the human voice signal analysis for useful.)
- 2014-08-18 22:47:50下载
- 积分：1
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coherencee mvdr
—The minimum variance distortionless response
(MVDR) approach is very popular in array processing. It is also
employed in spectral estimation where the Fourier matrix is used
in the optimization process. First, we give a general form of the
MVDR where any unitary matrix can be used to estimate the
spectrum. Second and most importantly, we show how the MVDR
method can be used to estimate the magnitude squared coherence
function, which is very useful in so many applications but so few
methods exist to estimate it. Simulations show that our algorithm
givesmuchmore reliable results than the one based on the popular
Welch’s method.
- 2010-06-05 19:56:26下载
- 积分：1
