Description: 基于有限高斯混合模型的EM算法的源程序代码，里面有实验报告和运行结果。
-based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results. Platform: |
Size: 52472 |
Author:王 |
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Description: 基于有限高斯混合模型的EM算法的源程序代码，里面有实验报告和运行结果。
-based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results. Platform: |
Size: 52224 |
Author:王 |
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Description: 有限混合模型的资料，了解有限混合模型及其参数估计方法。-Finite mixture model of information, limited understanding of the hybrid model and its parameter estimation method. Platform: |
Size: 208896 |
Author:liu |
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Description: 基于有限混合高斯模型的数据分类
1、使用基于有限高斯混合模型的EM算法对数据样本进行归类
2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验
-Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data samples 2, using the C++ or Matlab programming environment to realize the algorithm, and with a given data packet to the algorithm correctness testing Platform: |
Size: 5120 |
Author:路江 |
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Description: learning algorithm for finite mixture model and test
its application into motion segmentation-learning algorithm for finite mixture model and test
its application into motion segmentation Platform: |
Size: 2259968 |
Author:loossii |
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Description: This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections Platform: |
Size: 167936 |
Author:Shooty |
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Description: Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detection range, strong anti-stealth ability,
the capability of the long early warning time, and so on.
In OTHR, a significant problem is the effect of multipath
propagation, which causes multiple detections via
different propagation paths for a target with missed detections
and false alarms at the receiver [1–6]. Nevertheless,
the conventional tracking algorithms, such as
probabilistic data association (PDA) [7–9], presume that
a single-measurement per target, it may consider the
other measurements of the same target as clutter, and
multiple tracks are produced when a single target is
present. Therefore, these methods cannot effectively
solve the multipath propagation problem.(Conventional multitarget tracking systems presume that each target can produce at most one measurement
per scan. Due to the multiple ionospheric propagation paths in over-the-horizon radar (OTHR), this assumption is
not valid. To solve this problem, this paper proposes a novel tracking algorithm based on the theory of finite set
statistics (FISST) called the multipath probability hypothesis density (MP-PHD) filter in cluttered environments.
First, the FISST is used to derive the update equation, and then Gaussian mixture (GM) is introduced to derive
the closed-form solution of the MP-PHD filter. Moreover, the extended Kalman filter (EKF) is presented to deal
with the nonlinear problem of the measurement model in OTHR. Eventually, the simulation results are provided
to demonstrate the effectiveness of the proposed filter.) Platform: |
Size: 18432 |
Author:ioeyoyo |
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Search - finite mixture model