922 search results - page 112 / 185 » Learning Gaussian Process Models from Uncertain Data |
128
Voted
GRC
2010
IEEE
15 years 3 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
139
Voted
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
120
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ICCV
2007
IEEE
15 years 9 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
151
Voted
KDD
2009
ACM
15 years 9 months ago
2009
ACM
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
132
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...