376 search results - page 39 / 76 » Supervised dimensionality reduction using mixture models |
125
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CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
156
Voted
FLAIRS
2009
15 years 1 months ago
2009
As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. L...
142
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CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Dynamic appearance is one of the most important cues for tracking and identifying moving people. However, direct modeling spatio-temporal variations of such appearance is often a ...
150
Voted
NIPS
2004
15 years 4 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
137
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ICDE
2007
IEEE
15 years 9 months ago
2007
IEEE
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...