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Haiping Lu
Haiping Lu
Professor of Machine Learning, University of Sheffield
Dirección de correo verificada de sheffield.ac.uk - Página principal
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Año
MPCA: Multilinear principal component analysis of tensor objects
H Lu, KN Plataniotis, AN Venetsanopoulos
Neural Networks, IEEE Transactions on 19 (1), 18-39, 2008
10472008
A survey of multilinear subspace learning for tensor data
H Lu, KN Plataniotis, AN Venetsanopoulos
Pattern Recognition, 2011
4442011
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
3282010
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
1672009
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
1442009
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
1292013
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
1072016
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
1022006
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
852008
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
822009
Gaussian kernel optimization for pattern classification
J Wang, H Lu, KN Plataniotis, J Lu
Pattern Recognition 42 (7), 1237-1247, 2009
722009
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
712003
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
622018
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
552012
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
522021
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
472017
A layered deformable model for gait analysis
H Lu, KN Plataniotis, AN Venetsanopoulos
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International …, 2006
452006
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20