922 search results - page 127 / 185 » Learning Gaussian Process Models from Uncertain Data |
99
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
105
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PATAT
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
131
Voted
NN
2008
Springer
15 years 2 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
158
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CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
132
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IJCAI
2003
15 years 3 months ago
2003
Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....