 | 2008 |
| 11 |  | Weixiang Liu,
Fei Peng,
Shu Feng,
Jiangsheng You,
Ziqiang Chen,
Jian Wu,
Kehong Yuan,
Datian Ye:
Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization.
ICMB 2008: 41-48 |
| 10 |  | Weixiang Liu,
Kehong Yuan,
Datian Ye:
On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data.
Artificial Intelligence in Medicine 44(1): 1-5 (2008) |
| 9 |  | Weixiang Liu,
Kehong Yuan:
Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data.
IJDMB 2(3): 236-249 (2008) |
| 8 |  | Weixiang Liu,
Kehong Yuan,
Jian Wu,
Datian Ye,
Zhen Ji,
Siping Chen:
Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data.
IJPRAI 22(8): 1587-1598 (2008) |
| 7 |  | Weixiang Liu,
Kehong Yuan,
Datian Ye:
Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis.
Journal of Biomedical Informatics 41(4): 602-606 (2008) |
| 2006 |
| 6 |  | Weixiang Liu,
Nanning Zheng,
Songfeng Zheng:
Learning Sparse Mixture Models for Discriminative Classification.
IJPRAI 20(3): 431-440 (2006) |
| 2005 |
| 5 |  | Kun Wang,
Nanning Zheng,
Weixiang Liu:
Natural image matting with non-negative matrix factorization.
ICIP (2) 2005: 1186-1189 |
| 2004 |
| 4 |  | Weixiang Liu,
Nanning Zheng,
Xi Li:
Nonnegative Matrix Factorization for EEG Signal Classification.
ISNN (2) 2004: 470-475 |
| 3 |  | Weixiang Liu,
Nanning Zheng,
Xi Li:
Relative gradient speeding up additive updates for nonnegative matrix factorization.
Neurocomputing 57: 493-499 (2004) |
| 2 |  | Weixiang Liu,
Nanning Zheng:
Learning sparse features for classification by mixture models.
Pattern Recognition Letters 25(2): 155-161 (2004) |
| 1 |  | Weixiang Liu,
Nanning Zheng:
Non-negative matrix factorization based methods for object recognition.
Pattern Recognition Letters 25(8): 893-897 (2004) |