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- spectrum feature space 波谱特征空间
- Four different kinds of texel block partition methods and corresponding coding algorithms are adapted according to the local spectrum feature of the texture image. 针对纹理图象的局部特征，采用4种不同的纹理单元划分和编码算法来对其进行编码。
- This paper employs feature selection theory and pattern aggregation theory to reduce feature space dimension. 应用特征选取和模式聚合理论以降低特征空间维数。
- High accuracy DEMs is an important data in study of soil erosion and terrain feature space analysis. 高精度数字高程模型(DEM)是水土流失规律研究与流域地形空间分析中重要的空间数据。
- By developing the spV tight-binding model, we study the band spectrum feature of the cagelike structure such as carbon clusters, carbon nanotubes, BN nanotubes in this thesis. 本论文发展sp~3s~*紧束缚模型，着重研究笼状纳米结构如碳巴基球、碳纳米管、纳米氮化硼管的能谱特征。
- The proposed NTTALE has the ability to handle undersea ambient noise twice, to enhance the UMT radiated line spectrum feature twice, and to track well time-varying signals. 用水下某目标辐射线谱的实测数据，对该增强器的性能进行了仿真研究。
- This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space. 本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
- And relations between Contact Feature Space and tools' surface meshes are established. 并建立了接触特征空间和模具曲面网格的对应关系。
- In this algorithm the classification of samples in the critical zone is decided by the voting of K-NN set in the feature space and the sample space. 该方法将特征空间分类超平面附近的样本分类，交由特征空间和样本空间中的K-近邻集体投票表决。
- In the feature space, the mixing signals form a smaller submanifold, and an orthonormal basis of the submanifold is constructed. 将接收的混合信号映射到一个有限高维核特征空间，在这个特征空间中，利用核主成分分析方法寻找混合信号形成的子流形的一组正交基。
- Methods: 36 cases of ectopic pregnancy patients diagnosed clinically were detected by TCDU, and 26 of them had adnexa mass, The blood flow and spectrum feature in the mass were analyzed. 方法：回顾性分析腹腔镜证实为异位妊娠患者36例的超声表现，并对其中的26例附件区包块内的血流参数进行分析。
- The received mixing signals are first mapped to high-dimensional kernel feature space, and an orthonormal basis of the kernel feature space is constructed. 该算法首先将混合信号映射到高维核特征空间，同时构造该核特征空间的一组正交基。
- Based on QSO spectrum features, a Quasar Stellar Object Recognition model is built. 本文分析了类星体(QSO)光谱特征，建立了一个识别系统模型。
- KDE of the color difference value between the corresponding matching elements is calculated in difference feature space and selected as the similarity measure. 将匹配基元中对应像素点的颜色差值在差值特征空间中进行核密度估计,并以此作为相似性测度。
- Open galleries feature spaces for the display of larger, more dramatic works. 开放的画廊艺术空间功能更大，可吸收更多的更赋有戏剧性的作品。
- Corners are extracted using improved Harris operator, and feature space of Corner is built based on average square gradient matrix. Then three steps of matching strategy are adopted to realize image matching. 该算法采用改进的harris算子提取特征点(角点),并建立角点特征空间,根据三级匹配策略,实现特征点的匹配,完成图像配准。
- time series spectrum feature parameter 时序光谱特征参量
- The data space was mapped to high dimension feature space with Mercer kernel function, and fuzzy kernel learning vector quantization (FKLVQ) was done on the feature space to obtain the effective and stable clustering weight vectors. 该方法通过Mercer核,将数据空间映射到高维特征空间,并在此特征空间上进行FKLVQ学习获取数据空间有效且稳定的聚类权矢量,然后在特征空间和输出空间上仅针对各空间的数据样本和它们各自的聚类权矢量进行Sammon非线性核映射。
- line spectrum feature extraction 线谱特征提取
- In this paper, the DCV is extended to nonlinear case, by performing the Gram-Schmidt orthogonalization twice in feature space, which involving computing two kernel matrices and performing a Cholesky decomposition of a kernel matrix. 该文将DCV方法推广到非线性领域,将两次Gram-Schmidt正交化过程,转化为只需计算两个核矩阵和进行一次Cholesky分解完成,且得到的非线性Fisher鉴别矢量有标准正交的性质。
