428 search results - page 10 / 86 » An Algorithm for Intrinsic Dimensionality Estimation |
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
AAAI
2007
15 years 2 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
IJON
2010
14 years 9 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
105
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
130
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitabl...