MPCA: Multilinear principal component analysis of tensor objects H Lu, KN Plataniotis, AN Venetsanopoulos Neural Networks, IEEE Transactions on 19 (1), 18-39, 2008 | 1046 | 2008 |
A survey of multilinear subspace learning for tensor data H Lu, KN Plataniotis, AN Venetsanopoulos Pattern Recognition, 2011 | 448 | 2011 |
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 | 332 | 2010 |
Distance-reciprocal distortion measure for binary document images H Lu, AC Kot, YQ Shi Signal Processing Letters, IEEE 11 (2), 228-231, 2004 | 303 | 2004 |
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 | 168 | 2009 |
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 | 148 | 2009 |
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 | 131 | 2009 |
Multilinear subspace learning: dimensionality reduction of multidimensional data H Lu, KN Plataniotis, A Venetsanopoulos CRC press, 2013 | 127 | 2013 |
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 | 111 | 2016 |
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 | 105 | 2006 |
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 | 89 | 2002 |
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 | 86 | 2008 |
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 | 83 | 2009 |
Gaussian kernel optimization for pattern classification J Wang, H Lu, KN Plataniotis, J Lu Pattern Recognition 42 (7), 1237-1247, 2009 | 73 | 2009 |
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 | 73 | 2003 |
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 | 64 | 2018 |
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 | 63 | 2023 |
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 | 60 | 2021 |
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 | 57 | 2012 |
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 | 48 | 2017 |