博文
我的科研经历2004-2008
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2004-2008：生物识别，机器学习，模式识别
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上一篇：我的科研经历1998-2003
下一篇：我的科研经历2008-2011：从启蒙走向成熟
--2004起在多伦多大学两位导师K. N. Plataniotis教授和A. N. Venetsanopoulos教授指导下攻读博士
--刚开始着眼于视频/动态影像的处理（步态识别）
--后来逐渐将侧重点放在特征提取（模式识别和机器学习），特别是基 于【多线性子空间学习】的特征提取。
A. 书刊篇章：
- Haiping Lu, Jie Wang and K.N. Plataniotis, "A Review on Face and Gait Recognition: System, Data and Algorithms", inAdvanced Signal Processing: Theory and Implementation for Sonar, Radar, and Non-Invasive Medical Diagnostic Systems, Second Edition, S. Stergiopoulos, Editor, Pages 303-330, CRC Press, Boca Raton, Florida, ISBN: 978-1-4200-6238-0, 2009.
Preprint is available here only for academic use. - Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition", in Biometrics: Theory, Methods, and Applications, N. Boulgouris, K.N. Plataniotis, and E. Micheli-Tzanakou, Eds., Pages 21-45, Wiley-IEEE Press, ISBN: 978-0-470-24782-2, 2009.
Preprint is available here only for academic use.
B. 期刊论文：
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "A Survey of Multilinear Subspace Learning for Tensor Data",Pattern Recognition, Vol. 44, No. 7, pp. 1540-1551, Jul. 2011. [PDF], [BibTeX].
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning", IEEE Trans. on Neural Networks, Vol. 20, No. 11, Page: 1820-1836, Nov. 2009.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Boosting Discriminant Learners for Gait Recognition using MPCA Features", EURASIP Journal on Image and Video Processing, Volume 2009, Article ID 713183, 11 pages, 2009. doi:10.1155/2009/713183.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Uncorrelated Multilinear Discriminant Analysis with Regularization and Aggregation for Tensor Object Recognition", IEEE Trans. on Neural Networks, Vol. 20, No. 1, Page: 103-123, Jan. 2009.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "MPCA: Multilinear Principal Component Analysis of Tensor Objects", IEEE Trans. on Neural Networks, Vol. 19, No. 1, Page: 18-39, Jan. 2008. [PDF], [BibTeX], [Matlab codes and tensorial gait data].
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "A Full-Body Layered Deformable Model for Automatic Model-Based Gait Recognition", EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 261317, 13 pages, 2008. doi:10.1155/2008/261317.
C. 会议论文：
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Uncorrelated Multilinear Principal Component Analysis through Successive Variance Maximization", in Proceedings of the 25th International Conference on Machine Learning (ICML 2008) , Helsinki, Finland, pp. 616-623, July 2008.
The ICML08 presentation slides.
The ICML08 poster.
The ICML08 presentation video. - Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Uncorrelated Multilinear Discriminant Analysis with Regularization for Gait Recognition", in Proceedings of the Biometrics Symposium 2007 (BSYM 2007), Baltimore, US, September 2007.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Boosting LDA with Regularization on MPCA Features for Gait Recognition", in Proceedings of the Biometrics Symposium 2007 (BSYM 2007), Baltimore, US, September 2007.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Gait Recognition through MPCA plus LDA", in Proceedings of the Biometrics Symposium 2006 (BSYM 2006), Baltimore, US, September 2006.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Multilinear Principal Component Analysis of Tensor Objects for Recognition", in Proceedings of the International Conference on Pattern Recognition (ICPR 2006), Hong Kong, China, August 2006.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "Coarse-to-Fine Pedestrian Localization and Silhouette Extraction for the Gait Challenge Data Sets", in Proceedings of the IEEE International Conference on Multimedia & Expo (ICME 2006), Toronto, Canada, July 2006.
- Haiping Lu, K.N. Plataniotis and A.N. Venetsanopoulos, "A Layered Deformable Model for Gait Analysis", in Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), Southampton, UK, April 2006.
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上一篇：我的科研经历1998-2003
下一篇：我的科研经历2008-2011：从启蒙走向成熟
