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linerprograming
liner programing with matlab
- 2010-10-10 15:42:02下载
- 积分：1
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GLDM
Feature Extraction using matlab
- 2011-10-07 23:51:15下载
- 积分：1
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5
说明： 数学建模中的程序编写，矢量数据的显示，达到建模过程中用户的需求(Programming in the mathematical modeling and display of vector data, to the needs of users in the modeling process)
- 2012-11-21 17:31:25下载
- 积分：1
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kl
说明： 计算kl散度，信息熵，是随机变量或整个系统的不确定性。熵越大，随机变量或系统的不确定性就越大。
相对熵，用来衡量两个取值为正的函数或概率分布之间的差异。
交叉熵，用来衡量在给定的真实分布下，使用非真实分布所指定的策略消除系统的不确定性所需要付出的努力的大小。
相对熵=交叉熵-信息熵(Relative entropy, used to measure the difference between two positive functions or probability distributions.
Cross entropy is used to measure the size of the effort required to eliminate the uncertainty of the system by using the strategy specified by the non real distribution in a given real distribution.)
- 2017-11-24 15:15:15下载
- 积分：1
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程序代码说明
P0502：计算图像中的欧拉数
程序代码说明
P0502：计算图像中的欧拉数-Procedure Code Description P0502: Calculation of image Euler Number
- 2022-02-10 03:18:07下载
- 积分：1
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QIU
通用卷积码的编码encoding for ALL RSC(encoding for ALL RSC)
- 2009-05-30 01:39:36下载
- 积分：1
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matlab__leach
mat lab code on leach algorithm
- 2009-08-21 12:15:16下载
- 积分：1
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Poisson-s-Equation
this program calculates poisson equation
- 2013-10-06 00:09:19下载
- 积分：1
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区域生长图像处理方法
区域生长（region growing）是指将成组的像素或区域发展成更大区域的过程。从种子点的集合开始，从这些点的区域增长是通过将与每个种子点有相似属性像强度、灰度级、纹理颜色等的相邻像素合并到此区域。本源代码是大学期间学习生物医学工程专业时用到的处理医学图像的比较有用的方法，但这不局限与医学图像处理，这是我第一次发源代码，希望对大家有用。
- 2023-06-10 22:15:03下载
- 积分：1
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NPE
本代码实现基于成对约束的半监督图嵌入算法(Following the intuition that the image variation of
faces can be effectively modeled by low dimensional
linear spaces, we propose a novel linear subspace
learning method for face analysis in the framework of
graph embedding model, called Semi-supervised
Graph Embedding (SGE). This algorithm builds an
adjacency graph which can best respect the geometry
structure inferred from the must-link pairwise
constraints, which specify a pair of instances belong to
the same class. The projections are obtained by
preserving such a graph structure. Using the notion of
graph Laplacian, SGE has a closed solution of an
eigen-problem of some specific Laplacian matrix and
therefore it is quite efficient. Experimental results on
Yale standard face database demonstrate the
effectiveness of our proposed algorithm.)
- 2009-10-19 11:03:48下载
- 积分：1
