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Description: for Independent component analysis (ICA) feature selection filtering program for the improvement of ICA algorithm independent of the key ingredients (SOI), the separation and extraction, the key element in its independent signal sample data on the spatial distribution of certain characteristics. This paper smoothing filter as an example, table membership in such features filtering ICA algorithm can improve visual function areas smoothing image signal extraction. Therefore, this feature filtering technology is estimated at smoothing properties of brain imaging have potential value.
- [FuntionLab] - a symbolic computation can be a tool to
- [YLiGRC04] - This paper presents a broad-based increa
- [ICA] - for feature extraction InfoMax Algorithm
- [Paris ica] - Paris, one of the authorities of ICA, cr
- [gaojibianchengOpenGL] - Functions/Classes:
- [Palette] - opengl write palette, but also good for
- [@polynomial] - err
- [lunwen] - In this paper, the major work is the int
- [LDA] - Linear Discriminant Analysis (LDA) for f
- [ICA] - ICA for image feature extraction compone
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