全面的一个重构算法--子空间追踪方法代码

In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.

机器学习 curse of dimensionality(Machine learning curse of dimensionality)

使用Matlab Gui实现的数字信号处理常用算法，包括卷积，FFT，FIRIIR数字滤波器设计，最佳滤波器，自适应滤波，卡尔曼滤波等(Implemented using the Matlab Gui commonly used digital signal processing algorithms, including convolution, FFT, FIRIIR digital filter design, the best filters, adaptive filtering, Kalman filtering, etc.)

迪特斯特拉算法 给初学者用 大家互相学习学习(Dieter Stella algorithm for beginners to learn with us learn from each other)

实现ricernd，ricepdf，和ricestat，在模拟磁共振成像大小数据Rician分布噪声背景下。(Demonstrate ricernd, ricepdf, and ricestat, in the context of simulating Rician distributed noise for Magnetic Resonance Imaging magnitude data.)

应用背景This code is based on the paper  "M. Park, K. Brocklehurst, R. Collins and Y. Liu, Deformed Lattice Detection in Real-World Images         Using Mean-Shift Belief Propagation, IEEE Transactions on Pattern Analysis and Machine         Intelligence, Special Issue on Probabilistic Graphical Models, vol 31(10), pp 1804-1816, Oct 2009."关键技术We develop a novel and efficient MSBP algorithm for inferencing on real-valued, non-Gaussian MRFs. We propose a novel MRF graphical framework and show the effectiveness of MSBP for automatic detection of deformed 2D wallpaper patterns in real images.

一种新的方法

c4.5经典算法，实现决策树分类功能，可以对连续数值和离散数值实现很好的分类，并有剪枝功能(c4.5 classic algorithms, to achieve the decision tree classification, can be continuous and discrete numerical values to achieve good classification, and a pruning function)

This function computes the backbone structure of a given weigthed graph (Matrix), keeping a minimum min_dens_nc degree for each node.

modul pelatiah matlab berbahasa indonesia