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ICPR
2004
IEEE
16 years 7 months ago
Classification Probability Analysis of Principal Component Null Space Analysis
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Namrata Vaswani, Rama Chellappa
ICCV
2007
IEEE
16 years 8 months ago
Methods for space line localization from single catadioptric images: new proposals and comparisons
Line localization from a single image of a central camera is an ill-posed problem unless other constraints or apriori knowledge are exploited. Recently, it has been proved that no...
Vincenzo Caglioti, Simone Gasparini, Pierluigi Tad...
ECCV
2004
Springer
15 years 11 months ago
Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
P. Thomas Fletcher, Sarang C. Joshi
ECCV
2004
Springer
15 years 11 months ago
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
ICCV
2011
IEEE
14 years 6 months ago
Means in spaces of tree-like shapes
The mean is often the most important statistic of a dataset as it provides a single point that summarizes the entire set. While the mean is readily defined and computed in Euclid...
Aasa Feragen, Søren Hauberg, Mads Nielsen, Franç...