Lei Wang
Lei Wang
School of Computing and Information Technology, University of Wollongong
Verified email at uow.edu.au - Homepage
Cited by
Cited by
In defense of soft-assignment coding
L Liu, L Wang, X Liu
2011 International Conference on Computer Vision, 2486-2493, 2011
AdaBoost with SVM-based component classifiers
X Li, L Wang, E Sung
Engineering Applications of Artificial Intelligence 21 (5), 785-795, 2008
On similarity preserving feature selection
Z Zhao, L Wang, H Liu, J Ye
IEEE Transactions on Knowledge and Data Engineering 25 (3), 619-632, 2011
Efficient spectral feature selection with minimum redundancy
Z Zhao, L Wang, H Liu
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010
Feature selection with kernel class separability
L Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (9), 1534-1546, 2008
Generalized 2D principal component analysis for face image representation and recognition
H Kong, L Wang, EK Teoh, X Li, JG Wang, R Venkateswarlu
Neural Networks 18 (5-6), 585-594, 2005
Global and Local Structure Preservation for Feature Selection
X Liu, L Wang, J Zhang, J Yin, H Liu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2013
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
Y Wang, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, D Shen, ...
Neuroimage 174, 550-562, 2018
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Z Gao, L Wang, L Zhou, J Zhang
IEEE Journal of Biomedical and Health Informatics, 2016
Multiple Kernel Extreme Learning Machine
X Liu, L Wang, J Yin, E Zhu, J Zhang
Neurocomputing, 2013
Multilabel SVM active learning for image classification
X Li, L Wang, E Sung
2004 International Conference on Image Processing, 2004. ICIP'04. 4, 2207-2210, 2004
Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval
L Wang, KL Chan, Z Zhang
Multiple Kernel -Means with Incomplete Kernels
X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao
IEEE transactions on pattern analysis and machine intelligence 42 (5), 1191-1204, 2019
Revisiting local descriptor based image-to-class measure for few-shot learning
W Li, L Wang, J Xu, J Huo, Y Gao, J Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Positive semidefinite metric learning with boosting
C Shen, J Kim, L Wang, A Hengel
arXiv preprint arXiv:0910.2279, 2009
A framework of 2D Fisher discriminant analysis: application to face recognition with small number of training samples
H Kong, L Wang, EK Teoh, JG Wang, R Venkateswarlu
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
A study of AdaBoost with SVM based weak learners
X Li, L Wang, E Sung
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
Positive semidefinite metric learning using boosting-like algorithms
C Shen, J Kim, L Wang, A Van Den Hengel
MIT Press, 2012
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization
X Liu, Y Dou, J Yin, L Wang, E Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Encoding high dimensional local features by sparse coding based fisher vectors
L Liu, C Shen, L Wang, A Hengel, C Wang
arXiv preprint arXiv:1411.6406, 2014
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