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» Reducing the Need for Double Annotation
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CVPR
2012
IEEE
11 years 8 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento
EMNLP
2008
13 years 7 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
FM
2001
Springer
96views Formal Methods» more  FM 2001»
13 years 10 months ago
Houdini, an Annotation Assistant for ESC/Java
A static program checker that performs modular checking can check one program module for errors without needing to analyze the entire program. Modular checking requires that each m...
Cormac Flanagan, K. Rustan M. Leino
MOBIHOC
2005
ACM
14 years 5 months ago
Reliable bursty convergecast in wireless sensor networks
We address the challenges of bursty convergecast in multi-hop wireless sensor networks, where a large burst of packets from different locations needs to be transported reliably an...
Hongwei Zhang, Anish Arora, Young-ri Choi, Mohamed...
EMNLP
2004
13 years 7 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne