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Advanced Technologies, Systems, and Applications II
... outcomes of the 9th DAYS OF BHAAAS (Bosnian-Herzegovinian American Academy of Arts and Sciences) held in Banja Vrućica, Teslić, Bosnia and Herzegovina on May 25–28, 2017. This unique book offers a comprehensive, multidisciplinary and interdisciplinary ...
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Machine Learning Algorithms 2nd Edition
... , such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture.
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图像处理（第二版）章毓晋
... 来解鸡尾酒会问题？ ..........................................194
3.3.13 ICA 如何用于图像处理？...........................................................................194
3.3.14 ... 的主要特点？...........................................................213
3.3.20 将ICA 应用于图像处理和信号处理有 ...
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帝国竞争算法源代码
... 一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地 ... 机制而形成的一种优化方法。ICA也是一种基于群体的优化方法 ... 其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地 ... 。
目前，国外已有许多学者对ICA的性能改进以及实际应用进行了大量 ... 研究，也取得了一定的进展。ICA已被广泛用于解决各种实际的优化 ... 、易早熟收敛等缺陷。另外，ICA提出的时间较短，尚有很 ...
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Machine Learning Algorithms
... , such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture.
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盲源分离ICA
盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道的混合矩阵。
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Independent Component Analysis
This book is intended to provide the essentials of independent component analysis (ICA)
using intuitive examples described in simple geometric terms. The tutorial style adopted
should make this book suitable for readers of varying mathematical ...
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单通道盲源分离程序
基于ICA的单通道盲源分离算法，程序代码方便读者理解，里面包含了相关数据源和程序包
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