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» Meta-Analysis of Face Recognition Algorithms
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PAMI
2008
200views more  PAMI 2008»
13 years 9 months ago
Principal Component Analysis Based on L1-Norm Maximization
In data-analysis problems with a large number of dimension, principal component analysis based on L2-norm (L2PCA) is one of the most popular methods, but L2-PCA is sensitive to out...
Nojun Kwak
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
14 years 10 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
ICB
2007
Springer
119views Biometrics» more  ICB 2007»
14 years 4 months ago
Nonlinear Iris Deformation Correction Based on Gaussian Model
Current iris recognition systems can achieve high level of success under restricted conditions, while they still face challenges of utilizing images with heavy deformation caused b...
Zhuoshi Wei, Tieniu Tan, Zhenan Sun
CVPR
2005
IEEE
14 years 12 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
DASFAA
2007
IEEE
208views Database» more  DASFAA 2007»
14 years 4 months ago
Probabilistic Nearest-Neighbor Query on Uncertain Objects
Nearest-neighbor queries are an important query type for commonly used feature databases. In many different application areas, e.g. sensor databases, location based services or fac...
Hans-Peter Kriegel, Peter Kunath, Matthias Renz