376 search results - page 22 / 76 » Supervised dimensionality reduction using mixture models |
CVPR
1997
IEEE
15 years 4 months ago
1997
IEEE
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
80
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
127
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AMC
2011
14 years 3 months ago
2011
：In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
PRL
2006
14 years 11 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
BMCBI
2006
14 years 11 months ago
2006
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...