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» Predicting labels for dyadic data
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BMCBI
2008
79views more  BMCBI 2008»
14 years 9 months ago
Gene function prediction using labeled and unlabeled data
Xing-Ming Zhao, Yong Wang, Luonan Chen, Kazuyuki A...
NIPS
2008
14 years 11 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Xuming He, Richard S. Zemel
JMLR
2012
12 years 12 months ago
Multi-label Subspace Ensemble
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
Tianyi Zhou, Dacheng Tao
CVPR
2011
IEEE
14 years 4 months ago
Learning structured prediction models for interactive image labeling
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
14 years 7 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...