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ICCV
2007
IEEE
15 years 10 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
INFOCOM
2007
IEEE
15 years 10 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
ACCV
2007
Springer
15 years 10 months ago
High Capacity Watermarking in Nonedge Texture Under Statistical Distortion Constraint
High-capacity image watermarking scheme aims at maximize bit rate of hiding information, neither eliciting perceptible image distortion nor facilitating special watermark attack. T...
Fan Zhang, Wenyu Liu, Chunxiao Liu
CRV
2006
IEEE
155views Robotics» more  CRV 2006»
15 years 10 months ago
Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor
This paper presents a template-based algorithm to track and recognize athlete’s actions in an integrated system using only visual information. Conventional template-based action...
Wei-Lwun Lu, James J. Little
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
15 years 9 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...