vrprobort

用matlab实现聚类集成算法的功能，内含三个聚类集成算法，结果取最优(Cluster ensemble)

实现雷达信号处理的跟踪滤波功能，亲测可用，效果很好(Tracking radar signal processing filtering, pro-test can be used with good results)

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.)

I m happy to join the webside

matlab编写的边缘检测程序，可以准确识别出图像的边缘。(edge detect)

it is a matlab file foe develop SLAM localization this is a toolbox for develop develop realtime extra cool

MATLAB函数库查询辞典，包含了matlab所有的函数，给大家查找matlab函数的使用带来方便。(MATLAB function library check dictionary, contains all the functions matlab, matlab functions for everyone to find convenient to use.)

Karhunen Loeve算法实现过程，该项算法可用于图像的压缩和分类(Karhunen Loeve algorithm process, the algorithm can be used for image compression and classification)

利用Matlab编写的程序，GA算法解决车辆调度问题VRP(Programs written in Matlab, GA algorithm to solve vehicle scheduling problem VRP)

使用matlab开发的自适应滤波器文件，现代信号处理的学生可以借鉴一个！(Developed using matlab adaptive filter paper, modern signal processing can learn from a student!)