1956 search results - page 229 / 392 » Learning the Relative Importance of Features in Image Data |
158
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ICIP
2009
IEEE
15 years 2 months ago
2009
IEEE
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
203
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TIP
2010
14 years 11 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
279
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DAGM
2011
Springer
14 years 4 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
242
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AFPAC
2000
Springer
15 years 8 months ago
2000
Springer
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
175
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SSPR
2004
Springer
15 years 9 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...