251 search results - page 10 / 51 » Semi-supervised boosting using visual similarity learning |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
ACL
2008
13 years 9 months ago
2008
Chinese characters that are similar in their pronunciations or in their internal structures are useful for computer-assisted language learning and for psycholinguistic studies. Al...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Measuring image similarity is a central topic in computer vision. In this paper, we learn similarity from Flickr groups and use it to organize photos. Two images are similar if th...
ECML
2004
Springer
14 years 28 days ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...