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» Informative sampling for large unbalanced data sets
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WWW
2009
ACM
16 years 2 months ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
MICCAI
2007
Springer
16 years 2 months ago
Statistical Atlases of Bone Anatomy: Construction, Iterative Improvement and Validation
We present an iterative bootstrapping framework to create and analyze statistical atlases of bony anatomy such as the human pelvis from a large collection of CT data sets. We creat...
Gouthami Chintalapani, Lotta Maria Ellingsen, Ofri...
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 2 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
VLDB
2007
ACM
121views Database» more  VLDB 2007»
16 years 1 months ago
Efficient Keyword Search over Virtual XML Views
Emerging applications such as personalized portals, enterprise search and web integration systems often require keyword search over semi-structured views. However, traditional inf...
Feng Shao, Lin Guo, Chavdar Botev, Anand Bhaskar, ...
VR
1999
IEEE
112views Virtual Reality» more  VR 1999»
15 years 5 months ago
Third-Person Navigation of Whole-Planet Terrain in a Head-tracked Stereoscopic Environment
Navigation and interaction in virtual environments that use stereoscopic head-tracked displays and have very large data sets present several challenges beyond those encountered wi...
Zachary Wartell, William Ribarsky, Larry F. Hodges