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» Maximal Margin Labeling for Multi-Topic Text Categorization
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NIPS
2004
9 years 10 months ago
Maximal Margin Labeling for Multi-Topic Text Categorization
Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira...
ICCV
2009
IEEE
11 years 2 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
ICML
2004
IEEE
10 years 10 months ago
Leveraging the margin more carefully
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
Nir Krause, Yoram Singer
CVPR
2009
IEEE
10 years 4 months ago
Manifold Discriminant Analysis
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Ruiping Wang, Xilin Chen
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