Distance Metric Learning with Eigenvalue Optimization Y Ying, P Li Journal of Machine Learning Research 13, 1-26, 2012 | 375 | 2012 |
Probabilistic models for inference about identity P Li, Y Fu, U Mohammed, J Elder, S Prince Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2011 | 273* | 2011 |
Similarity metric learning for face recognition Q Cao, Y Ying, P Li Proceedings of the IEEE International Conference on Computer Vision, 2408-2415, 2013 | 250 | 2013 |
Patch-based within-object classification J Aghajanian, J Warrell, SJD Prince, P Li, JL Rohn, B Baum 2009 IEEE 12th International Conference on Computer Vision, 1125-1132, 2009 | 51 | 2009 |
Learning a multi-size patch-based hybrid kernel machine ensemble for abnormal region detection in colonoscopic images P Li, KL Chan, SM Krishnan 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 41 | 2005 |
Hybrid kernel machine ensemble for imbalanced data sets P Li, KL Chan, W Fang 18th International Conference on Pattern Recognition (ICPR'06) 1, 1108-1111, 2006 | 28 | 2006 |
An abnormal ecg beat detection approach for long-term monitoring of heart patients based on hybrid kernel machine ensemble P Li, K Chan, S Fu, S Krishnan Multiple Classifier Systems, 839-841, 2005 | 27 | 2005 |
CUDA implementation of deformable pattern recognition and its application to MNIST handwritten digit database Y Mizukami, K Tadamura, J Warrell, P Li, S Prince 2010 20th International Conference on Pattern Recognition, 2001-2004, 2010 | 25 | 2010 |
Distance Metric Learning Revisited Q Cao, Y Ying, P Li Machine Learning and Knowledge Discovery in Databases, 283-298, 2012 | 19 | 2012 |
Detecting abnormal regions in colonoscopic images by patch-based classifier ensemble P Li, KL Chan, SM Krishnan, Y Gao Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004 | 19 | 2004 |
Joint and implicit registration for face recognition P Li, SJD Prince 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1510-1517, 2009 | 18 | 2009 |
A marginalized variational bayesian approach to the analysis of array data Y Ying, P Li, C Campbell BMC proceedings 2 (Suppl 4), S7, 2008 | 9 | 2008 |
Kernel Machines for Imbalanced Data Problem in Biomedical Applications P Li, KL Chan, S Fu, SM Krishnan Support Vector Machines Applications, 221-268, 2014 | 7 | 2014 |
A Variational Approach to Semi-Supervised Clustering. P Li, Y Ying, C Campbell ESANN, 2009 | 7 | 2009 |
Probabilistic methods for face registration and recognition P Li, SJD Prince Advance in Face Image Analysis: Techniques and Technologies, 178-197, 2011 | 5 | 2011 |
Context-based additive logistic model for facial keypoint localization. P Li, J Warrell, J Aghajanian, S Prince BMVC, 1-11, 2010 | 5 | 2010 |
Kernel machines and classifier ensemble learning for biomedical applications. P Li Nanyang Technological University, Singapore, 2006 | 3 | 2006 |
Abnormal region detection in colonoscopic images using novelty detection technique P Li, SM Krishnan, KL Chan, Y Gao | 3 | 2004 |
A Concept Learning-Based Patient-Adaptable Abnormal ECG Beat Detector for Long-Term Monitoring of Heart Patients P Li, KL Chan, S Fu, SM Krishnan Neural Networks in Healthcare: Potential and Challenges, 105–128, 2006 | 2 | 2006 |
A mixed SVM-based hierarchical learning approach for abnormal ECG beat recognition P Li, KL Chan, YW Chan 1st International Conference on Bioengineering, 2004 | 1 | 2004 |