Description: 介绍了一种非常实用的特征提取新方法，针对稀疏核主成分分析方法在特征提取中的不足, 提出了一种基于核K- 均值聚类的稀疏核主成分分析( Sparse KPCA) 的特征提取方法用于说话人识别。-Introduced a very useful new method of feature extraction for Sparse Kernel Principal Component Analysis in Feature Extraction of the lack of a kernel-based K-means clustering of sparse kernel principal component analysis (Sparse KPCA) of the feature extraction methods for speaker recognition. Platform: |
Size: 122880 |
Author:毋桂萍 |
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Description: 实现Focuss 系统的算法程序，可用于稀疏成分分析。-Algorithm to achieve Focuss system procedures can be used for sparse component analysis. Platform: |
Size: 1024 |
Author:viviyang |
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Description: 基于信号稀疏分解的形态成分分析来进行图像的分解和修复原作者的英文原文献-Morphological component analysis based on the signal sparse decomposition of the image decomposition and restoration of the original author of the original English literature Platform: |
Size: 2738176 |
Author:kjl |
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Description: 关于特征提取的文章和代码，基于稀疏化的主成分分析法的，还没运行过，应该不错，共享-Articles and code feature extraction method based on principal component analysis sparse, not run, it should be good, sharing Platform: |
Size: 1725440 |
Author:刘海波 |
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Description: 稀疏的主成分分析基本概念，很好地学习这方面基本知识的材料-sparse Principal component analysis basic concepts, a good basic knowledge of learning materials in this regard Platform: |
Size: 4175872 |
Author:hzx |
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Description: 稀疏主成分分析用于脸部检测和识别的基础知识介绍。初学者很专业的入门材料。-Sparse principal component analysis for face detection and identification of the basics of introduction. Introductory material for beginners very professional. Platform: |
Size: 7607296 |
Author:hzx |
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Description: Linear prediction (LP) is an ubiquitous analysis
method in speech processing. Various studies have focused on
sparse LP algorithms by introducing sparsity constraints into
the LP framework. Sparse LP has been shown to be effective in
several issues related to speech modeling and coding. However,
all existing approaches assume the speech signal to be minimumphase. Because speech is known to be mixed-phase, the resulting
residual signal contains a persistent maximum-phase component.
The aim of this paper is to propose a novel technique which
incorporates a modeling of the maximum-phase contribution of
speech, and can be applied to any filter representation. The
proposed method is shown to significantly increase the sparsity
of the LP residual signal and to be effective in two illustrative
applications: speech polarity detection and excitation modeling. Platform: |
Size: 268288 |
Author:pashaa
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Description: 本程序实现稀疏主成分分析，相关方法在 H. Zou, T. Hastie, and R. Tibshirani的Sparse principal component analysis中有详细介绍(For SPCA, the method introduced in "Sparse principal component analysis" by H. Zou, T. Hastie, and R. Tibshirani) Platform: |
Size: 3072 |
Author:冰封墨者
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Description: 以稀疏子空间聚类以及低秩子空间聚类等基本谱聚类算法为基础，通过
运用核映射算法，融合与数据本身结构相关的局部切线空间函数以及主成分分析
算法建立了可以应对独立子空间聚类、非独立子空间聚类、非线性聚类、混合多
流体聚类问题以及多种含有大数据量的实际问题，包括处理运动分割、人脸识别、
工件识别等情况中的多种类型数据分类的聚类算法，并且引入 Map-Reduce 并行处
理方法优化了算法的计算效率(Based on the basic spectral clustering algorithm such as sparse subspace clustering and low rank subspace clustering, the local tangent space function and the principal component analysis algorithm are established by using the kernel mapping algorithm, which can deal with the independent subspace Clustering, non-independent subspace clustering, nonlinear clustering, mixed multi-fluid clustering problems and a variety of practical problems with large amounts of data, including dealing with motion segmentation, face recognition, workpiece recognition, etc. Data clustering algorithm, and the introduction of Map-Reduce parallel processing method to optimize the computational efficiency of the algorithm) Platform: |
Size: 15360 |
Author:奏凯吧
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Description: 基于稀疏分解的形态学成分分析，在分解图像的同时完成了去噪任务。(Based on the morphological component analysis of sparse decomposition, the image is decomposed and the denoising task is completed at the same time.) Platform: |
Size: 29696 |
Author:JunL10 |
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Search - SPARSE COMPONENT ANALYSIS