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这是MATLAB学习LSDA降维方法的核心程序，将降维后的特征用支持向量机进行训练和识别！-This is a MATLAB dimension reduction methods to study the core of LSDA process will feature after dimension reduction using support vector machine training and recognition!
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用pca 和 lda 实现数据的降维,加快机器的特征提取的速度。-Pca and lda of data with dimension reduction, feature extraction to speed up the speed of the machine.
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pca特征向量提取 利用pca的方法获取特征植及特征向量 最后可以自己根据需要降维-pca pca feature vector extraction method using characteristics of plants and to obtain the final feature vector dimension reduction can be their own as needed
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一维无序随机信号的小树变换处理，小树变换即treelet，是一种有效的高维的，无序的，杂乱的数据进行降维，特征提取的方法-One-dimensional disorder random signal processing, the saplings transform treelet tree transform namely, is a kind of effective high-dimension, disorder, messy data dimension reduction, fea
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KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用.-KPCA major noise in the image to have the application. You can also feature extraction using dimension reduction.
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PCA 主成分分析 特征抽取 特征降维 matlab实现-PCA principal component analysis feature extraction dimension reduction
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A. Fusion at the Feature Extraction Level
The data obtained from each sensor is used to compute a
feature vector. As the features extracted from one biometric
trait are independent of those extracted from the other, it is
reasonable to con
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局部线性判别嵌入算法，用于实现高维数据的特征提取与低维嵌入，可以很好地实现数据的降维。-Local linear discriminant embedding algorithm, used to implement the feature extraction and the low dimensional embedding of high-dimensional data, can well realize data dimension reduction.
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基于监督学习的一种非线性数据降维方法，可以很好地将低维特征从其所在的高维流形中提取出来，用于数据分类。-A nonlinear data dimension reduction based on supervised learning method, is a good way to the lower dimensional feature extracted from its place of higher dimensional manifold, used for data classi
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这是利用pca原理编写的，里面含有降维，形成特征空间。-This principle is the use of pca prepared, which contains dimension reduction, formed feature space.
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LLE（Locally Linear Embedding）算法，即局部线性嵌入算法。该算法是针对非线性信号特征矢量维数的优化方法，这种维数优化并不是仅仅在数量上简单的约简，而是在保持原始数据性质不变的情况下，将高维空间的信号映射到低维空间上，即特征值的二次提取-LLE (Locally Linear Embedding) algorithm, local linear embedding algorithm. The algorithm is a method for optimizing no
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Nowadays security becomes a most important issue regarding a spoof attack. So, multimodal biometrics technology has attracted
substantial interest for its highest user acceptance, high security, high accuracy, low spoof attack and high recognition
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Matlab实现界面友好，使用matlab实现智能预测控制算法，信号维数的估计，分析了该信号的时域、频域、倒谱，循环谱等,用于特征降维，特征融合，相关分析等。- Matlab to achieve user-friendly, Use matlab intelligent predictive control algorithm, Signal dimension estimates, Analysis of the signal time domain, frequency domain, c
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matlab小波分析程序，是一种双隐层反向传播神经网络，用于特征降维，特征融合，相关分析等,信号维数的估计，双向PCS控制仿真，对于初学者具有参考意义，大学数值分析算法，车牌识别定位程序的部分功能。-matlab wavelet analysis program, Is a two hidden layer back propagation neural network, For feature reduction, feature fusion, correlation analysis, S
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用于特征降维，特征融合，相关分析等,信号维数的估计，采用加权网络中节点强度和权重都是幂率分布的模型，本程序的性能已经超过其他算法，数据模型归一化，模态振动，对于初学者具有参考意义。- For feature reduction, feature fusion, correlation analysis, Signal dimension estimates, Using weighted model nodes in the network strength and weight are pow
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pls降维、主成分、分析、特征提取等作用，有帮助的可以下载(PLS dimension reduction, principal components analysis, feature extraction, and so on, help is available for download)
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这是主成分分析pca和fld的代码，主要实现特征降维。(This is the principal component analysis of pca and fld code, the main feature reduction dimension.)
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