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» Annotation Framework Validation Using Domain Models
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141
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IJCV
2011
264views more  IJCV 2011»
14 years 9 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
120
Voted
ICSE
1993
IEEE-ACM
15 years 6 months ago
A Comprehensive Process Model for Studying Software Process Papers
E cient and e ective studying of scienti c papers is an important part of software engineering education. Moreover, it contributes to the knowledge necessary to carry out software...
Rudolf K. Keller, Richard Lajoie, Nazim H. Madhavj...
SIGIR
2008
ACM
15 years 2 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
151
Voted
PAMI
2012
13 years 5 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
148
Voted
ICWS
2010
IEEE
15 years 4 months ago
WebMov: A Dedicated Framework for the Modelling and Testing of Web Services Composition
This paper presents a methodology and a set of tools for the modelling, validation and testing of Web service composition, conceived and developed within the French national projec...
Ana R. Cavalli, Tien-Dung Cao, Wissam Mallouli, El...