239 search results - page 18 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
DSMML
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
MLMI
2007
Springer
14 years 1 months ago
2007
Springer
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...