Non-negative matrix factorization (NMF) has attracted much attention for multi-view clustering due to its good theoretical and practical values. Although existing multi-view NMF methods have achieved satisfactory performance to some extent, there still exist the following problems: 1) most existing ...
Sparse nonnegative matrix factorization with l0-constraints Neurocomputing (2012) K.E. Themelis et al. A novel hierarchical bayesian approach for sparse semisupervised hyperspectral unmixing IEEE Trans. Signal Process. (2012) V.P. Pauca et al. Text mining using non-negative matrix factorizations....
SparseM A Sparse Matrix Package:sparsem稀疏矩阵包 热度: 非负矩阵分解; 人脸识别; 稀疏 热度: 相关推荐 SparseNonnegativeMatrixFactorizationforClustering JinguKimandHaesunPark ∗ CollegeofComputing GeorgiaInstituteofTechnology 266FerstDrive,Atlanta,GA30332,USA {jingu,hpark}@cc.gatech.edu Abstract Properti...
5.A Load-Balancing Algorithm for Sparse Matrix-Vector Multiplication on Parallel Computers并行计算稀疏矩阵乘以向量的负载平衡算法 6.New Scheme for Decomposition of Mixed Pixels Based on Constrained Nonnegative Matrix Factorization基于约束非负矩阵分解的混合象元分解新方法 ...
Jing, "Application of non-negative sparse matrix factorization in occluded face recognition," Journal of Computers, vol. 6, no. 12, pp. 2675-2679, 2011.LiYing Lang and XueKe Jing, "Application of Non- negative sparse matrix factorization in occluded face recognition," Journal of Computers, ...
2.1 Nonnegative matrix factorization NMF is a linear model where the observed signals, factorized signals, and source signals are all assumed to be nonnegative. Given a data matrixX={Xik}, NMF estimates two factorized matricesA={Aij} andS={Sjk} by minimizing the reconstruction error betweenXan...
Voice conversionItakura–Saito distanceTime–frequency basisWe propose a voice conversion method based on sparse convolutive non-negative matrix factorization. The method utilizes the Itakura–Saito distance as the objective cost function, making the smaller ma...
本文提出使用稀疏性非负矩阵分解(Sparse Non-negative Matrix Factorization,SNMF)和支持向量机对轴心轨迹图进行识别进而判断机器运行状态的方法,避免了特征选择和提取。 In this paper,the obits identification is tre...
本文提出使用稀疏性非负矩阵分解(Sparse Non-negative Matrix Factorization,SNMF)和支持向量机对轴心轨迹图进行识别进而判断机器运行状态的方法,避免了特征选择和提取。 更多例句>> 5) sparse matrix decomposition 稀疏矩阵分解6) split coefficient matrix method 稀疏矩阵分解法补充...
Colorectal cancerGenomicsClinical stageBlock-sparseNMFThe significant advantage of sparse methods is to reduce the complicacy of genes expression data, which makes them easier to understand and interpret. In this paper, we propose a novel Class-information-based Sparse Non-negative Matrix Factorization ...