344 search results - page 69 / 69 » Robustness of the Learning with Errors Assumption |
BMCBI
2006
13 years 5 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
ISVC
2007
Springer
13 years 11 months ago
2007
Springer
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
PODS
1999
ACM
13 years 9 months ago
1999
ACM
We investigate the problem of how to extend constraint query languages with aggregate operators. We deal with standard relational aggregation, and also with aggregates speci c to ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We present a robust method to map detected facial Action Units (AUs) to six basic emotions. Automatic AU recognition is prone to errors due to illumination, tracking failures and ...