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AAAI
2007
13 years 10 months ago
Semi-Supervised Learning by Mixed Label Propagation
Recent studies have shown that graph-based approaches are effective for semi-supervised learning. The key idea behind many graph-based approaches is to enforce the consistency bet...
Wei Tong, Rong Jin
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Video Annotation by Active Learning and Semi-Supervised Ensembling
Yan Song, Guo-Jun Qi, Xian-Sheng Hua, Li-Rong Dai,...
ICPR
2010
IEEE
13 years 9 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
ACL
2008
13 years 9 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum