| 2008 |
|---|
| 10 | EE | Shuiwang Ji,
Jieping Ye:
A unified framework for generalized Linear Discriminant Analysis.
CVPR 2008 |
| 9 | EE | Liang Sun,
Shuiwang Ji,
Jieping Ye:
A least squares formulation for canonical correlation analysis.
ICML 2008: 1024-1031 |
| 8 | EE | Jianhui Chen,
Shuiwang Ji,
Betul Ceran,
Qi Li,
Mingrui Wu,
Jieping Ye:
Learning subspace kernels for classification.
KDD 2008: 106-114 |
| 7 | EE | Shuiwang Ji,
Lei Tang,
Shipeng Yu,
Jieping Ye:
Extracting shared subspace for multi-label classification.
KDD 2008: 381-389 |
| 6 | EE | Liang Sun,
Shuiwang Ji,
Jieping Ye:
Hypergraph spectral learning for multi-label classification.
KDD 2008: 668-676 |
| 5 | EE | Shuiwang Ji,
Liang Sun,
Rong Jin,
Jieping Ye:
Multi-label Multiple Kernel Learning.
NIPS 2008: 777-784 |
| 4 | EE | Shuiwang Ji,
Liang Sun,
Rong Jin,
Sudhir Kumar,
Jieping Ye:
Automated annotation of Drosophila gene expression patterns using a controlled vocabulary.
Bioinformatics 24(17): 1881-1888 (2008) |
| 3 | EE | Shuiwang Ji,
Jieping Ye:
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.
IEEE Trans. Knowl. Data Eng. 20(10): 1311-1321 (2008) |
| 2007 |
|---|
| 2 | EE | Jieping Ye,
Jianhui Chen,
Shuiwang Ji:
Discriminant kernel and regularization parameter learning via semidefinite programming.
ICML 2007: 1095-1102 |
| 1 | EE | Jieping Ye,
Shuiwang Ji,
Jianhui Chen:
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
KDD 2007: 854-863 |
