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ICASSP
2007
IEEE
14 years 4 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
MIE
2008
114views Healthcare» more  MIE 2008»
13 years 11 months ago
Use Of Super-Concepts To Customize Electronic Medical Records Data Display
Patient medical record systems (MRS) merely offer static applications, in which mostly unstructured text is linked to coded data. In these applications the more common presentation...
Philippe Massari, Suzanne Pereira, Benoît Th...
IRFC
2010
Springer
14 years 2 months ago
Combining Wikipedia-Based Concept Models for Cross-Language Retrieval
Abstract. As a low-cost ressource that is up-to-date, Wikipedia recently gains attention as a means to provide cross-language brigding for information retrieval. Contradictory to a...
Benjamin Roth, Dietrich Klakow
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
14 years 2 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
KES
2004
Springer
14 years 3 months ago
Content-Based Image Retrieval Using Multiple Representations
Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...