| 2007 |
|---|
| 8 | EE | Lin Shi,
Defeng Wang,
Pheng-Ann Heng,
Tien-Tsin Wong,
Winnie C. W. Chu,
Benson H. Y. Yeung,
Jack C. Y. Cheng:
Landmark Correspondence Optimization for Coupled Surfaces.
MICCAI (2) 2007: 818-825 |
| 7 | EE | Daniel S. Yeung,
Wing W. Y. Ng,
Defeng Wang,
Eric C. C. Tsang,
Xizhao Wang:
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network.
IEEE Transactions on Neural Networks 18(5): 1294-1305 (2007) |
| 6 | EE | Defeng Wang,
Daniel S. Yeung,
Eric C. C. Tsang:
Weighted Mahalanobis Distance Kernels for Support Vector Machines.
IEEE Transactions on Neural Networks 18(5): 1453-1462 (2007) |
| 5 | EE | Daniel S. Yeung,
Defeng Wang,
Wing W. Y. Ng,
Eric C. C. Tsang,
Xizhao Wang:
Structured large margin machines: sensitive to data distributions.
Machine Learning 68(2): 171-200 (2007) |
| 4 | EE | Defeng Wang,
Lin Shi,
Daniel S. Yeung,
Eric C. C. Tsang,
Pheng-Ann Heng:
Ellipsoidal support vector clustering for functional MRI analysis.
Pattern Recognition 40(10): 2685-2695 (2007) |
| 3 | EE | Wing W. Y. Ng,
Daniel S. Yeung,
Defeng Wang,
Eric C. C. Tsang,
Xizhao Wang:
Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries.
Soft Comput. 11(4): 375-381 (2007) |
| 2005 |
|---|
| 2 | EE | Defeng Wang,
Daniel S. Yeung,
Eric C. C. Tsang,
Lin Shi:
Gene Selection Through Sensitivity Analysis of Support Vector Machines.
CompLife 2005: 117-127 |
| 1 | EE | Defeng Wang,
Lin Shi,
Daniel S. Yeung,
Pheng-Ann Heng,
Tien-Tsin Wong,
Eric C. C. Tsang:
Support Vector Clustering for Brain Activation Detection.
MICCAI 2005: 572-579 |
