Haiping LU (吕海平)
Haiping LU (吕海平)
Senior Lecturer in Machine Learning, Department of Computer Science, University of Sheffield
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα sheffield.ac.uk - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
MPCA: Multilinear principal component analysis of tensor objects
H Lu, KN Plataniotis, AN Venetsanopoulos
Neural Networks, IEEE Transactions on 19 (1), 18-39, 2008
7862008
A survey of multilinear subspace learning for tensor data
H Lu, KN Plataniotis, AN Venetsanopoulos
Pattern Recognition, 2011
3612011
Distance-reciprocal distortion measure for binary document images
H Lu, AC Kot, YQ Shi
Signal Processing Letters, IEEE 11 (2), 228-231, 2004
2312004
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
2052010
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
1322009
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
1162009
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
1012009
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
802006
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
782008
Multilinear subspace learning: dimensionality reduction of multidimensional data
H Lu, KN Plataniotis, A Venetsanopoulos
CRC press, 2013
752013
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
702002
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
662003
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
632009
Gaussian kernel optimization for pattern classification
J Wang, H Lu, KN Plataniotis, J Lu
Pattern Recognition 42 (7), 1237-1247, 2009
622009
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
402012
Fuzzy key binding strategies based on quantization index modulation (QIM) for biometric encryption (BE) applications
FM Bui, K Martin, H Lu, KN Plataniotis, D Hatzinakos
IEEE Transactions on Information Forensics and Security 5 (1), 118-132, 2009
402009
A layered deformable model for gait analysis
H Lu, KN Plataniotis, AN Venetsanopoulos
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International …, 2006
402006
An objective distortion measure for binary document images based on human visual perception
H Lu, J Wang, AC Kot, YQ Shi
Pattern Recognition, 2002. Proceedings. 16th International Conference on 4 …, 2002
372002
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
332016
Uncorrelated multilinear principal component analysis through successive variance maximization
H Lu, KN Plataniotis, AN Venetsanopoulos
Proceedings of the 25th international conference on Machine learning, 616-623, 2008
332008
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