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AAAI
2007
14 years 12 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
68
Voted
WEBI
2007
Springer
15 years 3 months ago
Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning
Mingliang Zhu, Weiming Hu, Xi Li, Ou Wu
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
15 years 3 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
14 years 11 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
14 years 11 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