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Haiping Lu
Haiping Lu
Professor of Machine Learning, University of Sheffield
在 sheffield.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
MPCA: Multilinear principal component analysis of tensor objects
H Lu, KN Plataniotis, AN Venetsanopoulos
Neural Networks, IEEE Transactions on 19 (1), 18-39, 2008
10462008
A survey of multilinear subspace learning for tensor data
H Lu, KN Plataniotis, AN Venetsanopoulos
Pattern Recognition, 2011
4482011
Regularized common spatial pattern with aggregation for EEG classification in small-sample setting
H Lu, HL Eng, C Guan, KN Plataniotis, AN Venetsanopoulos
Biomedical Engineering, IEEE Transactions on 57 (12), 2936-2946, 2010
3322010
Distance-reciprocal distortion measure for binary document images
H Lu, AC Kot, YQ Shi
Signal Processing Letters, IEEE 11 (2), 228-231, 2004
3032004
Uncorrelated multilinear discriminant analysis with regularization and aggregation for tensor object recognition
H Lu, KN Plataniotis, AN Venetsanopoulos
Neural Networks, IEEE Transactions on 20 (1), 103-123, 2009
1682009
Regularized common spatial patterns with generic learning for EEG signal classification
H Lu, KN Plataniotis, AN Venetsanopoulos
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual …, 2009
1482009
Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning
H Lu, KN Plataniotis, AN Venetsanopoulos
Neural Networks, IEEE Transactions on 20 (11), 1820-1836, 2009
1312009
Multilinear subspace learning: dimensionality reduction of multidimensional data
H Lu, KN Plataniotis, A Venetsanopoulos
CRC press, 2013
1272013
Motor Imagery Classification based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices
X Xie, ZL Yu, H Lu, Z Gu, Y Li
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016
1112016
Multilinear principal component analysis of tensor objects for recognition
H Lu, KN Plataniotis, AN Venetsanopoulos
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on 2 …, 2006
1052006
Watermark embedding in DC components of DCT for binary images
H Lu, X Shi, YQ Shi, AC Kot, L Chen
Multimedia Signal Processing, 2002 IEEE Workshop on, 300-303, 2002
892002
A full-body layered deformable model for automatic model-based gait recognition
H Lu, KN Plataniotis, AN Venetsanopoulos
EURASIP Journal on Advances in Signal Processing 2008, 62, 2008
862008
Face recognition with biometric encryption for privacy-enhancing self-exclusion
H Lu, K Martin, F Bui, KN Plataniotis, D Hatzinakos
2009 16th International Conference on Digital Signal Processing, 1-8, 2009
832009
Gaussian kernel optimization for pattern classification
J Wang, H Lu, KN Plataniotis, J Lu
Pattern Recognition 42 (7), 1237-1247, 2009
732009
Secure data hiding in binary document images for authentication
H Lu, AC Kot, J Cheng
Circuits and Systems, 2003. ISCAS'03. Proceedings of the 2003 International …, 2003
732003
Feature extraction for incomplete data via low-rank tensor decomposition with feature regularization
Q Shi, YM Cheung, Q Zhao, H Lu
IEEE transactions on neural networks and learning systems 30 (6), 1803-1817, 2018
642018
Interpretable bilinear attention network with domain adaptation improves drug–target prediction
P Bai, F Miljković, B John, H Lu
Nature Machine Intelligence 5 (2), 126-136, 2023
632023
A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis
AJ Swift, H Lu, J Uthoff, P Garg, M Cogliano, J Taylor, P Metherall, S Zhou, ...
European Heart Journal-Cardiovascular Imaging 22 (2), 236-245, 2021
602021
Quantifying limb movements in epileptic seizures through color-based video analysis
H Lu, Y Pan, B Mandal, HL Eng, C Guan, DWS Chan
IEEE Transactions on Biomedical Engineering 60 (2), 461-469, 2012
572012
Rank-one matrix completion with automatic rank estimation via L1-norm regularization
Q Shi, H Lu, YM Cheung
IEEE transactions on neural networks and learning systems 29 (10), 4744-4757, 2017
482017
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