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202
Voted
CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
This paper examines the problem of detecting changes in a 3-d scene from a sequence of images, taken by cameras with arbitrary but known pose. No prior knowledge of the state of n...
181
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
244
Voted
SIGMOD
2006
ACM
16 years 6 months ago
2006
ACM
The concept of dominance has recently attracted much interest in the context of skyline computation. Given an Ndimensional data set S, a point p is said to dominate q if p is bett...
168
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
156
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AUSAI
2005
Springer
16 years 7 days ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...