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» Domain Adaptation for Object Recognition: An Unsupervised Ap...
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ICPR
2008
IEEE
13 years 11 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich
CVPR
2009
IEEE
14 years 10 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
LREC
2010
133views Education» more  LREC 2010»
13 years 6 months ago
Improving Domain-specific Entity Recognition with Automatic Term Recognition and Feature Extraction
Domain specific entity recognition often relies on domain-specific knowledge to improve system performance. However, such knowledge often suffers from limited domain portability a...
Ziqi Zhang, José Iria, Fabio Ciravegna
CVPR
2008
IEEE
14 years 6 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
ACL
2010
13 years 2 months ago
All Words Domain Adapted WSD: Finding a Middle Ground between Supervision and Unsupervision
In spite of decades of research on word sense disambiguation (WSD), all-words general purpose WSD has remained a distant goal. Many supervised WSD systems have been built, but the...
Mitesh M. Khapra, Anup Kulkarni, Saurabh Sohoney, ...