922 search results - page 92 / 185 » Learning Gaussian Process Models from Uncertain Data |
130
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
120
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NIPS
1997
15 years 3 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
128
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MLMI
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
132
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ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
139
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WWW
2004
ACM
16 years 3 months ago
2004
ACM
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...