447 search results - page 18 / 90 » Linear discriminant analysis for data with subcluster struct... |
98
Voted
IJPRAI
2006
15 years 1 months ago
2006
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
129
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
105
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CVPR
2000
IEEE
16 years 3 months ago
2000
IEEE
A novel algorithm for motion segmentation is proposed. The algorithm uses the fact that shape of an object with homogeneous motion is represented as 4 dimensional linear space. Th...
109
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
123
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...