1183 search results - page 28 / 237 » Learning Process Models with Missing Data |
129
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ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
127
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EUROSSC
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. This paper describes methods and sensor technology used to identify persons from their walking characteristics. We use an array of simple binary switch floor sensors to d...
106
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TNN
1998
15 years 1 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
139
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NIPS
2000
15 years 2 months ago
2000
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...