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- In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction. 在模式识别和图像处理领域中，特征提取是一种特殊的维数降阶的形式。
- Based on the Neighborhood Preserving Embedding (NPE) algorithm, a novel dimensionality reduction method called ONPE is proposed. 摘要在邻域保护嵌入算法的基础上，提出了一种新的降维方法-正交邻域保护嵌入算法。
- The Locally Linear Embedding(LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data. 局部线性嵌入(LLE)算法是有效的非线性降维方法,时间复杂度低并具有强的流形表达能力。
- It is testified that in contrast with algorithm without dimensionality reduction，this algorithm can improve the performance signature signally. 实验结果表明，与不采用降维算法的检测方案相比，提出的方案能够显著地提高检测的准确率。
- We also describe an algorithm that allows the reconstruction and the approximation by dimensionality reduction for the original information. 还描述了一种算法，用以维数压缩对原始信息重新构造和逼近。
- Maximum likelihood performs a nonlinear dimensionality reduction, choosing permutations that compact the permuted image vectors into a volumetrically minimal subspace. 极大似然方法实现了非线性的降维，将向量压缩到一个低维空间。
- After dimensionality reduction to extracted eigenvector by K-L transform，genuine signatures and forgeries are distinguished through Support Vector Machines（SVM）. 运用K-L变换对已提取的特征向量进行降维，最后输入支持向量机进行真伪鉴别。
- An application to meteorological data shows results similar to the one-class case as far as dimensionality reduction goes.A reasonable classification rate is also obtained. 气象应用说明，就维数压缩而论，结果与一类情况类似，并且还得到了合理的分类判断。
- This paper uses dimensionality reduction signal processing technology to get all targets’ reliable initial information based on TBD detection method in the image sequences. 摘要 在序列图像情况下，采用降维处理技术在二维空间中通过基于TBD的多帧检测算法获得了众多目标可靠的初始信息。
- As a non-trivial problem， the most promising solutions of similarity search in time series databases involve performing dimensionality reduction on the original data. 摘要 时间序列相似性查找作为一种非平凡问题，大多数有效的求解方法都涉及到对原数据维度的简约。
- An illustration with a theoretical model reveals the great compression power produced by this scheme ,as well as the goodness of the approximations by dimensionality reduction. 用一个理论模型显示了这种方法的很大的压缩效果和维数压缩逼近的优良性。
- Principal component analysis(PCA)is the most commonly used dimensionality reduction technique for detecting and diagnosing faults in chemical processes. 在化工流程故障诊断中,主元分析法(PCA)是最常见的降维技术。
- Finally, the prospect of nonlinear dimensionality reduction methods in manifold learning was discussed, so as to extend the application area of manifold learning. 最后展望了流形学习中非线性维数方法的未来研究方向，期望进一步拓展流形学习的应用领域。
- A model of predicting end phosphorus in converter steelmaking was established based on the PLS-BP dimensionality reduction net using SPR and ANN to avoid the defaults of PLS and BP individually. 摘要用模式识别和神经网络建立PLS-BP的转炉终点磷含量降维网络模型，克服了PLS法和BP法各自的缺陷。
- In this paper, we analyze these peculiarities, and conduct experiments on a corpus of 1000 web page to contrasts three feature selection techniques for dimensionality reduction of the feature space. 本文分析了网页内部特征，并在1000篇网页规模语料岸的基础上，通过试验对比了三种特征选择方法对高维特征向量空间进行降维的效果。
- Thirdly, standardization and dimension reduction are performed to classify signals in each signal subspace. 再次，对每一个子空间信号特征向量进行标准化、降维和分类；
- In this paper,a new dimensionality reduction method for calculating the radiant heat transfer with two dimensional characteristics was defined on the basis of a plane angle. 本文针对具有二维特征的辐射换热问题,提出一种降维处理方法。
- It was shown that the SLSI approach led to drastic dimension reduction and it maintained the classification accuracy as well. SLSI可以取得好的降维效果,同时也能保证文本分类的精度。
- The results show that the proposed method used for QAR data has a good effect of dimension reduction and high rate of correct classification. 实验结果显示：把该方法用于QAR数据具有良好的降维效果和高分类正确率。
- The paper analyses the two methods in detail and deduces the relation of PCA to SVD when they are used in dimension reduction. 在模式识别的过程中,进行特征的选择有两个目标:丢弃一些对分类贡献不大的特征;
