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PAMI
2012
13 years 9 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
ECCV
2002
Springer
16 years 9 months ago
Bayesian Self-Calibration of a Moving Camera
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
Gang Qian, Rama Chellappa
LREC
2008
128views Education» more  LREC 2008»
15 years 8 months ago
Adjudicator Agreement and System Rankings for Person Name Search
We have analyzed system rankings for person name search algorithms using a data set for which several versions of ground truth were developed by employing different means of resol...
Mark Arehart, Chris Wolf, Keith J. Miller
NIPS
2007
15 years 8 months ago
Object Recognition by Scene Alignment
Current object recognition systems can only recognize a limited number of object categories; scaling up to many categories is the next challenge. We seek to build a system to reco...
Bryan C. Russell, Antonio Torralba, Ce Liu, Robert...
PPSN
1998
Springer
15 years 11 months ago
On Risky Methods for Local Selection under Noise
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...
Günter Rudolph