74 search results - page 11 / 15 » Kernel-Based Learning of Hierarchical Multilabel Classificat... |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
JMLR
2008
14 years 9 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
This paper deals with the problem of structuralizing education and training videos for high-level semantics extraction and nonlinear media presentation in e-learning applications....
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JMLR
2010
14 years 4 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...