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» A theory of learning from different domains
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WWW
2008
ACM
15 years 10 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
ICMLA
2007
14 years 11 months ago
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
Rómer Rosales, Praveen Krishnamurthy, R. Bh...
CVPR
2011
IEEE
14 years 1 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
KR
2004
Springer
15 years 3 months ago
How to Interweave Knowledge about Object Structure and Concepts
This article presents a general framework for integrating reasoning about object structure and concept taxonomies. The structural relations in the domain of objects discussed are ...
Carola Eschenbach
CAISE
2009
Springer
15 years 4 months ago
Secure Information Systems Engineering: Experiences and Lessons Learned from Two Health Care Projects
In CAiSE 2006, we had presented a framework to support development of secure information systems. The framework was based on the integration of two security-aware approaches, the S...
Haralambos Mouratidis, Ali Sunyaev, Jan Jürje...