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CVPR
2008
IEEE
16 years 9 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
ICIP
2006
IEEE
16 years 8 months ago
3D Target Scale Estimation for Size Preserving in PTZ Video Tracking
In size preserving video tracking, the camera's focal length (zoom) is adjusted automatically to compensate for the changes in the target's image size caused by the rela...
Yi Yao, Besma R. Abidi, Mongi A. Abidi
SIGMOD
2002
ACM
196views Database» more  SIGMOD 2002»
16 years 7 months ago
Storing and querying ordered XML using a relational database system
XML is quickly becoming the de facto standard for data exchange over the Internet. This is creating a new set of data management requirements involving XML, such as the need to st...
Igor Tatarinov, Stratis Viglas, Kevin S. Beyer, Ja...
ALT
2006
Springer
16 years 3 months ago
Iterative Learning from Positive Data and Negative Counterexamples
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
Sanjay Jain, Efim B. Kinber
ISPASS
2009
IEEE
16 years 1 months ago
Accurately approximating superscalar processor performance from traces
Trace-driven simulation of superscalar processors is particularly complicated. The dynamic nature of superscalar processors combined with the static nature of traces can lead to l...
Kiyeon Lee, Shayne Evans, Sangyeun Cho