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  • [Matlab] BLS-GSM_Denoising.rar Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J ...
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  • [PDF] Roweis_199NeuralComputation.rar The Kalman filter30 is a minimum-variance filter in which time-series measurements are incorporated recursively into estimates of state variables it is the optimal, Bayesian least-squares estimator for linear dynamic systems.
    Category: Algorithm Upload User:xxl0315 Size:198K
  • [Matlab] gmm.rar Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
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  • [C/C++] bf-Csourc.zip Bayesian Filter. Bayesian (Bayesian) filters C Class. Including Kalman filter (Kalman filter). particle filter (particle filter).
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  • [PDF] BayesianNetworks.zip Bayesian Networks by Tommi S. Jaakkola MIT AI Lab
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  • [Unix_Linux] qweqweqweqwe.rar 一种新的方法,可以自动对两幅图像进行 ·Matlab code for encoding an unwrappi ·冈萨雷斯的经典教材数字图像处理的matl ·Fast Fourier Transform ·《Matlab控制系统与应用实例》一书源码 ·Bayesian Compressed Sensing ·永磁同步电动机的空间矢量控制simulink ·Matlab计算信噪比,单声道,双声道均可
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  • [Others] BayesianNetworks.rar Bayesian learning guide, which can understand the data mining method
    Category: Algorithm Upload User:szlbkj Size:325K
  • [Matlab] Bayesian-machine-learn-data-mining.rar Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
    Category: AI-NN-PR Upload User:daicylas Size:277K
  • [Visual C++ (VC++)] NavieBayesianClassifier[xtulbd,050228].rar Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J
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  • [Matlab] icaML.zip This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing ...
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