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102
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ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
94
Voted
CP
2007
Springer
15 years 6 months ago
2007
Springer
It has been widely observed that there is no “dominant” SAT solver; instead, different solvers perform best on different instances. Rather than following the traditional appr...
116
Voted
ECCV
2006
Springer
16 years 2 months ago
2006
Springer
In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...
101
Voted
CIAC
2010
Springer
15 years 10 months ago
2010
Springer
The problem of sharing the cost of a common infrastructure among a set of strategic and cooperating players has been the subject of intensive research in recent years. However, mos...
112
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ICML
1994
IEEE
15 years 4 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...