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DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
13 years 11 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
BMCBI
2010
129views more  BMCBI 2010»
13 years 8 months ago
The LabelHash Algorithm for Substructure Matching
Background: There is an increasing number of proteins with known structure but unknown function. Determining their function would have a significant impact on understanding diseas...
Mark Moll, Drew H. Bryant, Lydia E. Kavraki
MICCAI
2010
Springer
13 years 6 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
ICML
2003
IEEE
14 years 8 months ago
Semi-Supervised Learning of Mixture Models
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar C...
ICMCS
2010
IEEE
198views Multimedia» more  ICMCS 2010»
13 years 9 months ago
Naming persons in news video with label propagation
Labeling persons appearing in video frames with names detected from the video transcript helps improving the video content identification and search task. We develop a face naming...
Phi The Pham, Marie-Francine Moens, Tinne Tuytelaa...