| 1. | A new estimation for a spectral radius of nonnegative matrices
非负矩阵谱半径的新估计 |
| 2. | Notes on bounds for spectral radius of a nonnegative matrix
关于非负矩阵谱半径界的注记 |
| 3. | Estimation of new bounds on the spectral radius of nonnegative matrix
非负矩阵谱半径的一个新界值估计 |
| 4. | Bounds on the spectral radius and the spread of nonnegative matrix
有关非负矩阵谱半径及分离度界的估计 |
| 5. | Further discussion on nonnegative matrix having same nonnegative moore - penrose and group inverse
逆的非负矩阵的进一步研究 |
| 6. | A doubly nonnegative matrix a is defined to be an entrywise nonnegative and positive semidifined matrix
对于给定的一个n阶实方阵a ，若其每一元素非负且半正定，则称为双非负矩阵。 |
| 7. | In [ 3 ] , z . s . li , f . hall and c . eschenbash extended the concept of the base and period from nonnegative matrices to powerful sign patter matrices
文[ 3 ]中，李宗山等把非负矩阵的基和周期的概念推广到powerful符号矩阵。 |
| 8. | Some conditions are obtained by using the semigroup theory , the properties of nonnegative matrices and the techniques of inequalities to determine the asymptotically stable region of the equilibrium
通过半群理论、非负矩阵性质和不等式技巧，得到估计这类方程平衡态渐近稳定域的方法。 |
| 9. | In this thesis , we mainly use snmf ( sparse nonnegative matrix factorization ) as the method of rank reduction , which extend the nmf to include the option to control sparseness explicitly
本文主要采用snmf (非负稀疏矩阵分解)算法作为降维和提取特征向量的工具,该算法是在nmf算法的基础上加上显式地稀疏因子控制而形成的一种非负矩阵分解方法。 |
| 10. | Different from other rank reduction methods , such as pca ( principal component analysis ) and vq ( vector quantization ) , nmf ( nonnegative matrix factorization ) can get nonnegative , sparse basis vectors which make possible of the concept of a parts - based representation
与pca (主分量分析)和vq (矢量量化)等降维算法不同, nmf (非负矩阵分解)算法能够分解出非负的,稀疏的特征矩阵和编码矩阵,能够提取原始数据向量的局部特征,使基于局部特征进行分类的聚类算法更容易实现。 |
