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Description: Upper gain margin
Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.
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Size: 825 |
Author: shangguan |
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Description: Upper gain margin
Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.
Platform: |
Size: 1024 |
Author: shangguan |
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Description: he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
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Size: 7168 |
Author: 薛耀斌 |
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Description: 一个关于无向图推理模型的代码，可用于图像处理-An undirected graph inference on the model code
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Size: 367616 |
Author: 杨华春 |
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Description: 该工具包囊括了无向图模型的一些常用算法，包括随机场模型，预测算法，解码算法和采样算法，非常实用。-UGM is a set of Matlab functions implementing various tasks in probabilistic undirected graphical models of discrete data with pairwise (and unary) potentials。
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Size: 478208 |
Author: john |
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Description: soal ujian acept ugm
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Size: 98304 |
Author: werkudoro |
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Description: ANSYS APDL UIDL SDK ACT 二次开发 客户化定制-ANSYS APDL UIDL SDK ACT customized secondary development
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Size: 3408896 |
Author: 王宇 |
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Description: 这是一个基于马尔可夫模型的图像分割程序，功能很强大，希望对您有用-this is an algorithm about MRF
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Size: 366592 |
Author: liubenqiang |
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Description: This is a major update to UGM. ALL mex files must be re-compiled to use this new version. In addition, parameter estimation now works in a completely different way to allow arbitrary parameter tying (there is no more infoStruct).
Below is the list of updates:
Replaced the infoStruct with the nodeMap and edgeMap. These allow arbitrary parameter tying and make it easier to have different graph structures for different training examples.
Added the alpha-expansion and alpha-expansion beta-shrink moves for approximate decoding in models satisfying a generalized triangle inequality, as well as the truncation trick to allow these methods to be applied when this inequality is not satisfied.(This is a major update to UGM. ALL mex files must be re-compiled to use this new version. In addition, parameter estimation now works in a completely different way to allow arbitrary parameter tying (there is no more infoStruct).
Below is the list of updates:
Replaced the infoStruct with the nodeMap and edgeMap. These allow arbitrary parameter tying and make it easier to have different graph structures for different training examples.)
Platform: |
Size: 477184 |
Author: 辣比小新
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