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104
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
74
Voted
SIGGRAPH
1992
ACM
15 years 1 months ago
1992
ACM
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
102
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CGF
2011
14 years 1 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
101
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PR
2008
14 years 9 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...