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» Centering Information Retrieval to the User
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MM
2004
ACM
195views Multimedia» more  MM 2004»
16 years 1 days ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...
WWW
2004
ACM
16 years 7 months ago
Providing ranked relevant results for web database queries
Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to ...
Ullas Nambiar, Subbarao Kambhampati
AI
2000
Springer
15 years 11 months ago
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
Abstract. Today’s case based reasoning applications face several challenges. In a typical application, the case bases grow at a very fast rate and their contents become increasin...
Qiang Yang, Jing Wu
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
15 years 5 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
CHI
2009
ACM
16 years 7 months ago
Understanding teamwork in high-risk domains through analysis of errors
Trauma care is an example of dynamic, complex, and safety-critical teamwork. The staff in trauma centers works under time pressure and lacks effective information technologies to ...
Aleksandra Sarcevic