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linear subspace meaning in Chinese

线性子空间

Examples

  1. Necessary and sufficient conditions for every closed maximal linear subspace to be strongly orthogonally complemented in banach spaces
    空间上闭线性子空间强正交可补的充分必要条件
  2. We proved that every closed maximal linear subspace in a banach space is strongly orthogonally complemented if and only if the space x is reflexive and strictly convex
    摘要证明了闭的极大线性子空间是强正交可补的充分必要条件是,空间x是自反严格凸的。
  3. ( 2 ) a face detector based on mixtures of linear subspaces on the pattern recognition , it is very natural to view face detection as a problem of classification
    ( 2 )基于混合线性子空间人脸检测方法将人脸检测问题转化一个分类问题在模式识别中是一个较为自然的想法。
  4. Since the images of a human face lie in a complex subset of the image space that is unlikely to be modeled by a single linear subspace , we use a mixture of linear subspaces to model the distribution efface and non - face patterns . in the other words , we used fisher linear discriminator to project samples from a height dimensional image space to a lower dimensional feature space
    对于背景复杂的人脸图象的检测,使用单个线性线性子空间很难准确地区分出人脸和非人脸模式,因此,本文使用混合线性子空间对人脸和非人脸样本的分布进行建模,在利用自组织映射神经网络标识人脸和非人脸样本的基础上构建一个fisher人脸检测器。
  5. It ' s a problem of great significance how to filtering a signal in joint time - frequency domain and reconstruct the time series from the time - frequency plane selected . in this thesis , the theory of joint time - frequency analysis and synthesis and time - frequency filtering is investigated . two kinds of new time - frequency domain filtering methods are proposed based on adaptive decomposition and linear subspace projection
    本文在系统学习现有的各种时频分析及其综合算法的基础上,详细研究了时频域滤波的核心思想和基本方法,吸取了自适应时频分析和线性子空间投影wigner - ville变换的优点,提出了的两种新的时频域滤波方法,并通过理论分析和数字仿真完成了相应的数值特性与应用特性研究。

Related Words

  1. subspace
  2. vector subspace
  3. invariant subspace
  4. projective subspace
  5. hyperinvariant subspace
  6. visual subspace
  7. singular subspace
  8. defect subspaces
  9. isotropic subspace
  10. root subspace
  11. linear structure of flow
  12. linear submanifold
  13. linear substitution
  14. linear subsystem
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