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independent component analysis

独立成分分析的论文,描述了独立成分分析的算法。
2011-11-16 上传大小:1.9MB
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Independent Component Analysis

A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and more. Independent Component Analysis is divided into four sections that cover: * General mathematical concepts utilized in the book * The basic ICA model and its solution * Various extensions of the basic ICA model * Real-world applications for ICA models Authors Hyvarinen, Karhunen, and Oja are well known for their contributions to the development of ICA and here cover all the relevant theory, new algorithms, and applications in various fields. Researchers, students, and practitioners from a variety of disciplines will find this accessible volume both helpful and informative.

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主要成分分析与独立成分分析合集

Principal component analysis independent component analysis pdf

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(eWiley) Independent Component Analysis

Independent Component Analysis

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Survey on Independent Component Analysis

文章主要介绍了Independent Component Analysis(独立成份分析)的关键技术

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Topographic Independent Component Analysis

介绍Topographic ICA原理 In ordinary independent component analysis, the components are assumed to be completely independent, and they do not necessarily have any meaningful order relationships. In practice, however, the estimated “independent” components are often not at all independent. We propose that this residual dependence structure could be used to define a topographic order for the components. In particular, a distance between two components could be defined using their higher-order correlations, and this distance could be used to create a topographic representation. Thus we obtain a linear decomposition into approximately independent components, where the dependence of two components is approximated by the proximity of the components in the topographic representation

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fastica, pca

fastica,independent component analysis

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Independent Component Analysis(英文版)

介绍ICA的经典教材,大牛Hyvarinen的Independent Component Analysis(英文版)。研究ICA的可以好好品读一下!

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Independent Component Analysis Algorithms and Applications

Independent Component Analysis Algorithms and Applications

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FASTICA MATLAB代码 经典文献

FASTICA MATLAB代码 经典文献、 1997NC-A Fast Fixed-Point Algorithm for Independent Component Analysis 1999NCS-Survey on Independent Component Analysis 2000NN-Independent Component Analysis_ Algorithms and Applications FASTICA-1999TNN-Fast and Robust Fixed-Point Algorithms for Independent Component Analysis TechReport-ICA by Minimization of Mutual Information

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独立成分分析(Independent Component Analysis)

独立成分分析(Independent Component Analysis)的入门文章,介绍了基本原理和使用实例

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Ensemble Learning for Independent Component Analysis

研究Ensemble Learning和ICA的博士论文

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Independent Component Analysis 算法和应用

作者 Aapo Hyvärinen and Erkki Oja 很详细地介绍ICA概念分类,算法和应用等

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Shifted Independent Component Analysis(SICA)

a new ica method for blind separaton

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独立分量分析学习资料ICA

Independent Component Analysis (ICA)ICA独立分量分析

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Generalized Principal Component Analysis

作者:Vidal, René, Ma, Yi, Sastry, S.S. 2016年新书。据作者说:研究 unsupervised learning,从一百多年前的PCA讲到压缩感知,知识纵跨上百年。横跨代数几何,数理统计,高维数据处理,优化算法。而应用更涉及科学和工程各个领域,是数据科学的入门基础

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Independent Component Analysis A Tutorial Introduction.pdf

英文原版书 独立分量分析 主要有1 independent component analysis and blind source separation 2 the geometry of mixtures 3 method for blind source separation 4 applications

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盲源分离国外原版教材

Handbook of Blind Source Separation Independent Component Analysis and Applications,很经典的盲源分离国外原版教材

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独立原量分析JADE算法

独立原量分析JADE算法 BLIND SOURCE SEPARATION and INDEPENDENT COMPONENT ANALYSIS

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独立成分分析 ICA

学习独立成分分析的好书。《Independent Component Analysis》,作者Apo Hyvarinen, Huha karhunen

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KICA核独立元分析

核独立主元分析(kernel independent component analysis)软件包,可在MATLAB 5或MATLAB 6环境下运行。-It is a kernel independent component analysis program packet that can be run under MATLAB 5 or MATLAB 6.

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