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NullSpaceApp
Null Space Approach Null Space Approach
Null Space Approach
Null Space Approach
Null Space Approach
- 2010-04-27 15:41:41下载
- 积分：1
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tracking
people tracking after performing background subtraction and find the centroid of the blobs use for video suvelliance
- 2011-07-08 10:41:35下载
- 积分：1
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lvbo
选取滤波器（低通滤波器和带阻滤波器）采样点之间信号并与对应的输入信号进行比较的源程序。
(Select filter (low-pass filter and band stop filter) the signal between sampling points and the corresponding input signal for comparison of the source.)
- 2009-02-08 11:35:16下载
- 积分：1
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ExpectationMaximization
Expectation Maximization
- 2010-01-15 22:50:55下载
- 积分：1
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00662645
internation transaction paper for implementation in matlab
- 2013-10-04 18:09:19下载
- 积分：1
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matlab-dzxxgc
matlab在电子信息工程当中的应用，绝对值得专业下载，学习(professional download matlab in which the application of the Electronic and Information Engineering, definitely worth learning)
- 2013-03-26 15:50:14下载
- 积分：1
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LS3P
线性化法仿真三个参考节点定位一个定位节点，随机噪声均方差随机分布在[4,10]，多径效应，权重分布在[0.85，1]。(Linearization method simulation of three reference nodes positioning a positioning node, the variance of random noise are randomly distributed in [4,10], multi-path effects, the weight distribution in [0.85,1].)
- 2011-11-23 10:17:02下载
- 积分：1
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functional-analysis
数学的相关资料，刘炳初等_《泛函分析》第二版课后习题答案。(Mathematical information, Liu Bing primary _ the second edition of the functional analysis the solutions after class.
)
- 2013-12-24 18:25:15下载
- 积分：1
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EMSeg
EM 算法是求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(Expectation Maximization image segmentation
Input:
ima: grey color image
k: Number of classes
Output:
mask: clasification image mask
mu: vector of class means
v: vector of class variances
p: vector of class proportions
)
- 2021-04-08 12:49:01下载
- 积分：1
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SIFTflow 基于SIFT的光流运动检测,能够解决遮挡问题,有效提高检测
资源描述While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different scenes remains a challenging problem. Analogous to optical flow where an image is aligned to its temporally adjacent frame, we propose SIFT flow, a method to align an image to its nearest neighbors in a large image corpus containing a variety of scenes. The SIFT flow algorithm consists of matching densely sampled, pixel-wise SIFT features between two images, while preserving spatial discontinuities. The SIFT features allow robust matching across different scene/object appearances, whereas the discontinuity preserving spatial model allows matching of objects located at different parts of the scene. Experiments show that the proposed approach robustly aligns complex scene pairs containing significant spatial differences. Ba
- 2022-04-25 02:01:40下载
- 积分：1
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