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radonLikeFeaturesDemo
该演示中包含的代码演示如何氡相似的功能,可以用来提高(以及部分)在Connectome电磁图像单元格边界。
请举出下列文件如果您发现此代码有用:
Ritwik库马尔,阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”,接受,IEEE计算机学会研讨会在生物医学图像分析(MMBIA)2010年数学方法
http://seas.harvard.edu/〜 rkkumar
radonLikeFeaturesDemo.m:演示边缘增强用氡相似的功能,
getEdgeFeatures.m:助手为高斯函数的二阶导数滤波器
makeBarFilters.m:助手为高斯函数的二阶导数滤波器
sample.png:示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images.
Please cite the following paper if you find this code useful:
Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010
http://seas.harvard.edu/~rkkumar
radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features
getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters
makeBarFilters.m : Helper function for Gaussian Second Derivative Filters
sample.png : Sample image for use in this demo
)
- 2010-07-05 12:09:03下载
- 积分:1
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FCM
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min
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NMF-DTU-Toolbox
matlab源代码,是非负矩阵分解工具箱,包含乘法更新,最小二乘约束,投影梯度法等方法(Usage:
[W,H] = nmf(X,K,alg,maxiter,speak)
W: output matrix
H: output matrix
X: input matrix
K: number of components
alg: algorithm to use
maxiter: maximum number of iterations
speak: print to screen
Algorithms:
mm: Multiplicative updates method using euclidean distance measure.
cjlin: Projected gradient method
prob: Probabilistic non-negative matrix factorization.
als: Alternating least squares.
alsobs: Alternating least squares with optimal brain surgeon.
Demonstrations:
PET: NMF on a PET dataset
Text: NMF used on a three different datasets Email, medical, and CNN.
Algorithms
mm: Multiplicative update method using euclidean distance measure.
Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF.
cjlin: Alternative non-negative least squares using projected gradients.
Author: Chih-Je)
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mi-(2)
幂法是一种计算矩阵主特征值(矩阵按模最大的特征值)及对应特征向量的迭代方法, 特别是用于大型稀疏矩阵。
(The power method is a method of calculating the matrix eigenvalue (matrix largest characteristic value) and the iterative method of the corresponding feature vector, particularly for large sparse matrix.)
- 2012-10-06 17:03:30下载
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