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137
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ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
136
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SDM
2010
SIAM
15 years 2 months ago
2010
SIAM
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
125
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IROS
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
124
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ESANN
2004
15 years 5 months ago
2004
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical ...
154
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...