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MLE
Maximum likelihood estimator matlab
- 2013-01-15 08:26:09下载
- 积分：1
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code
Gaussian_Window,Fourier_Transform的matlab代码例程(matlab code about Gaussian_Window,Fourier_Transform)
- 2014-01-08 16:27:45下载
- 积分：1
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BYS10
贝叶斯学习算法The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.(The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.)
- 2018-02-10 13:22:22下载
- 积分：1
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mm26_09-01
Standard dispersion for fiber opticsvformula from Corning
- 2009-04-28 00:23:31下载
- 积分：1
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nonlinear
这本书最近看的觉得挺有用的，希望能对做这方面的朋友有所帮助！谢谢！(This book recently read that Tingyou use, hoping to make friends in this area help! Thank you!)
- 2011-05-31 21:33:31下载
- 积分：1
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111
神经网络控制 徐丽娜 多变量控制系统以及辨识(Neural network control of the the Lina multi-variable control system and identification)
- 2012-05-27 10:47:30下载
- 积分：1
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Vehicle-detection
基于协方差的车辆检测,用协方差矩阵为描述子，检测图片中的汽车或者卡车(Covariance matrix Vehicle detection)
- 2013-12-10 18:38:57下载
- 积分：1
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GrTheory
图论最短路问题，应用弗洛伊德算法，非常非常的牛逼(Shortest path problem on graph theory, applications Floyd algorithm, very, very Niubi)
- 2010-08-12 13:44:02下载
- 积分：1
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LBF
his package demonstrates an improved algorithm based on the local binary fitting (LBF) model
- 2009-04-14 02:13:36下载
- 积分：1
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ASM_version1b
ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
(Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach.
Basic idea:
The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions.
After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour.
Literature:
- Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)
- 2010-03-04 17:01:22下载
- 积分：1
