894 search results - page 128 / 179 » Learning to cluster using local neighborhood structure |
112
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BMCBI
2010
14 years 10 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
ACCV
2006
Springer
15 years 3 months ago
2006
Springer
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
IJON
2010
14 years 7 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...
SECON
2008
IEEE
15 years 4 months ago
2008
IEEE
Stationary wireless sensor networks (WSNs) fail to scale when the area to be monitored is open (i.e borderless) and the physical phenomena to be monitored may migrate through a la...
121
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JMLR
2010
14 years 4 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...