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Description: ixp425 npe jkdsjfdlksjfd-ixp425 Pohnpei jkdsjfdlksjfd
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Size: 96286 |
Author: 刘伯 |
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Description: redboot npe support 1.0 版--支持ixp4XX系列的CUP
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Size: 238611 |
Author: Adam |
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Description: redboot2.04源代码,只要做嵌入式系统的都会要的
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Size: 205302 |
Author: zml |
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Description: 一个用来计算高维数据线性图形嵌入的matlab函数，是几乎所有线性降维算法（如LPP, NPE, IsoProjection, LSDA.）都要用的一个文件，在这里上传给大家，一定用得着！
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Size: 2868 |
Author: ttt |
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Description: LGE是NPE需要调用的算法
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Size: 4946 |
Author: 784880713@qq.com |
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Description: redboot npe support 1.0 版--支持ixp4XX系列的CUP-redboot npe support 1.0 version supports IXP4xx series CUP
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Size: 238592 |
Author: Adam |
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Description: redboot2.04源代码,只要做嵌入式系统的都会要的-redboot2.04 source code, as long as the embedded system will make to the
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Size: 204800 |
Author: zml |
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Description: 一个用来计算高维数据线性图形嵌入的matlab函数，是几乎所有线性降维算法（如LPP, NPE, IsoProjection, LSDA.）都要用的一个文件，在这里上传给大家，一定用得着！-A high dimensional data used to calculate the linear graphics embedded matlab function, is that almost all linear dimensionality reduction algorithms (such as LPP, NPE, IsoProjection, LSDA.) Should be used in a document From here to the U.S., we use gained!
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Size: 3072 |
Author: ttt |
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Description: 邻域保持嵌入算法。注释有对应的参考文献和使用说明！-Embedding Algorithm maintain neighborhood. Notes there is the corresponding references and the use of note!
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Size: 2048 |
Author: 小哈 |
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Description: IXP425 下NPE驱动的OSAL部分源码。-IXP425 NPE OSAL
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Size: 146432 |
Author: yw |
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Description: 流形学习算法lle的线性化方法，是一种非监督的降维方法，比lle的优势在于可以将新的样本点映射到低维空间。-Lle manifold learning algorithm of the linearization method, is a non-supervised dimensionality reduction method has the advantage of being more than lle can sample the new point is mapped to the low-dimensional space.
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Size: 2048 |
Author: 仲国强 |
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Description: NPE: Neighborhood Preserving Embedding
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Size: 2048 |
Author: lai_zhi_hui |
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Description: 本代码实现基于成对约束的半监督图嵌入算法-Following the intuition that the image variation of
faces can be effectively modeled by low dimensional
linear spaces, we propose a novel linear subspace
learning method for face analysis in the framework of
graph embedding model, called Semi-supervised
Graph Embedding (SGE). This algorithm builds an
adjacency graph which can best respect the geometry
structure inferred from the must-link pairwise
constraints, which specify a pair of instances belong to
the same class. The projections are obtained by
preserving such a graph structure. Using the notion of
graph Laplacian, SGE has a closed solution of an
eigen-problem of some specific Laplacian matrix and
therefore it is quite efficient. Experimental results on
Yale standard face database demonstrate the
effectiveness of our proposed algorithm.
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Size: 2048 |
Author: 刘国胜 |
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Description: 用于流型学习的算法：局部邻域保持 可以分析任何符合流型分布的数据集，常用语人脸识别-For the flow pattern learning algorithm: the local neighborhood to maintain consistent flow pattern can be analyzed the distribution of any data set, common language recognition
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Size: 4096 |
Author: 刘帅 |
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Description: 人脸识别的子空间方法，包括LLE，ISOMAP和NPE等维数约减算法-Subspace method for face recognition, including LLE, ISOMAP and NPE dimensionality reduction algorithm such as
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Size: 174080 |
Author: 韩静书 |
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Description: 维数约减matlab工具箱，包括LLE，ISOMAP，NPE等，具有较好的效果-Dimensionality reduction matlab toolbox, including LLE, ISOMAP, NPE, etc., with good results
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Size: 936960 |
Author: 韩静书 |
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Description: 程序为matlab代码，LGM是NPE调用的-Procedures for the matlab code, LGM is called NPE
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Size: 5120 |
Author: 储敏 |
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Description: 线性图嵌入方法，该方法是一种基于图框架的子空间学习方法，被用于LPP,NPE等流行学习方法中。-(Regularized) Linear Graph Embedding (Provides a general framework for graph based subspace learning. This function will be called by LPP, NPE, IsoProjection, LSDA, MMP ...)
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Size: 3072 |
Author: caolinlin |
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Description: 流行学习的一种：邻域保持投影，该方法是局部线性嵌入的线性拓展，较好的保持了数据的局部线性结构-Neighborhood Preserving Embedding (You need to download LGE.m)
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Size: 5120 |
Author: caolinlin |
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Description: 首先对一段正常工况下的历史数据进行离散小波分解,对不同尺度下的小波系数建立相应的NPE模型.经过多层小波分解,建立相应的统计量对过程进行监控-First discrete wavelet decomposition of some normal conditions of historical data, the NPE model wavelet coefficients in different scales. Multilayer wavelet decomposition, the establishment of appropriate statistics to monitor the process
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Size: 14336 |
Author: miao |
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