| 2008 |
|---|
| 6 | EE | Mingjun Zhong,
Fabien Lotte,
Mark A. Girolami,
Anatole Lécuyer:
Classifying EEG for brain computer interfaces using Gaussian processes.
Pattern Recognition Letters 29(3): 354-359 (2008) |
| 2007 |
|---|
| 5 | EE | Mingjun Zhong,
Junfu Du:
A parametric density model for blind source separation.
Neural Processing Letters 25(3): 199-207 (2007) |
| 2006 |
|---|
| 4 | EE | Mark Girolami,
Mingjun Zhong:
Data Integration for Classification Problems Employing Gaussian Process Priors.
NIPS 2006: 465-472 |
| 3 | EE | Mingjun Zhong:
A variational method for learning sparse Bayesian regression.
Neurocomputing 69(16-18): 2351-2355 (2006) |
| 2004 |
|---|
| 2 | EE | Mingjun Zhong,
Huanwen Tang,
Hongjun Chen,
Yiyuan Tang:
An EM algorithm for learning sparse and overcomplete representations.
Neurocomputing 57: 469-476 (2004) |
| 1 | EE | Mingjun Zhong,
Huanwen Tang,
Yiyuan Tang:
Expectation-Maximization approaches to independent component analysis.
Neurocomputing 61: 503-512 (2004) |
