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ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
ESANN
2007
13 years 10 months ago
2007
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
ICRA
2008
IEEE
14 years 3 months ago
2008
IEEE
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...