 | 2009 |
| 11 |  | Zhengdong Lu,
Prateek Jain,
Inderjit S. Dhillon:
Geometry-aware metric learning.
ICML 2009: 85 |
| 10 |  | Zhengdong Lu,
Deepak Agarwal,
Inderjit S. Dhillon:
A spatio-temporal approach to collaborative filtering.
RecSys 2009: 13-20 |
| 2008 |
| 9 |  | Zhengdong Lu,
Miguel Á. Carreira-Perpiñán:
Constrained spectral clustering through affinity propagation.
CVPR 2008 |
| 8 |  | Miguel Á. Carreira-Perpiñán,
Zhengdong Lu:
Dimensionality reduction by unsupervised regression.
CVPR 2008 |
| 7 |  | Zhengdong Lu,
Todd K. Leen,
Yonghong Huang,
Deniz Erdogmus:
A reproducing kernel Hilbert space framework for pairwise time series distances.
ICML 2008: 624-631 |
| 6 |  | Zhengdong Lu,
Todd K. Leen,
Jeffrey Kaye:
Hierarchical Fisher Kernels for Longitudinal Data.
NIPS 2008: 1961-1968 |
| 2007 |
| 5 |  | Zhengdong Lu,
Miguel Á. Carreira-Perpiñán,
Cristian Sminchisescu:
People Tracking with the Laplacian Eigenmaps Latent Variable Model.
NIPS 2007 |
| 4 |  | Zhengdong Lu,
Todd K. Leen:
Penalized Probabilistic Clustering.
Neural Computation 19(6): 1528-1567 (2007) |
| 3 |  | Rudolph van der Merwe,
Todd K. Leen,
Zhengdong Lu,
Sergey Frolov,
António M. Baptista:
Fast neural network surrogates for very high dimensional physics-based models in computational oceanography.
Neural Networks 20(4): 462-478 (2007) |
| 2 |  | Rudolph van der Merwe,
Todd K. Leen,
Zhengdong Lu,
Sergey Frolov,
António M. Baptista:
Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478].
Neural Networks 20(6): 761-762 (2007) |
| 2004 |
| 1 |  | Zhengdong Lu,
Todd K. Leen:
Semi-supervised Learning with Penalized Probabilistic Clustering.
NIPS 2004 |