1174 search results - page 71 / 235 » Boosting for transfer learning |
209
Voted
FOCS
2010
IEEE
15 years 1 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
176
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
122
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ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
139
Voted
BIBM
2008
IEEE
15 years 10 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
147
Voted
ICCV
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...