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IWANN
2005
Springer
15 years 6 months ago
Block LDA for Face Recognition
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
81
Voted
IPMI
2003
Springer
16 years 1 months ago
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
Polina Golland, Bruce Fischl
94
Voted
CGA
2004
15 years 13 days ago
Interactive Color Palette Tools
Color is fundamental in computer graphics imagery. But despite the importance of good color selection and the difficulty most people have making those color selections, current gr...
Barbara J. Meier, Anne Morgan Spalter, David B. Ka...
99
Voted
IPMI
2007
Springer
16 years 1 months ago
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI
This study evaluates a robust parametric modeling approach for computer-aided detection (CAD) of vertebrae column metastases in whole-body MRI. Our method involves constructing a m...
Anna K. Jerebko, G. P. Schmidt, Xiang Sean Zhou, J...
TKDE
2011
479views more  TKDE 2011»
14 years 7 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang