298 search results - page 56 / 60 » Subspace Clustering of High Dimensional Data |
129
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IROS
2009
IEEE
15 years 7 months ago
2009
IEEE
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
115
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BMCBI
2007
15 years 14 days ago
2007
Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
103
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CVPR
2007
IEEE
15 years 6 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
83
Voted
RECOMB
2008
Springer
16 years 20 days ago
2008
Springer
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
86
Voted
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...