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KDD
2007
ACM
14 years 8 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
IDA
2010
Springer
13 years 6 months ago
2010
Springer
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
Online camera recalibration is necessary for long-term deployment of computer vision systems. Existing algorithms assume that the source of recalibration information is a set of f...
CIVR
2007
Springer
14 years 2 months ago
2007
Springer
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
IDA
2007
Springer
14 years 2 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...