842 search results - page 87 / 169 » Distributions of Maximum Likelihood Estimators and Model Com... |
145
Voted
ACL
1994
15 years 7 months ago
1994
In many applications of natural language processing it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may need to determine...
182
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ICIP
2004
IEEE
16 years 7 months ago
2004
IEEE
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
179
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ECCV
1994
Springer
15 years 10 months ago
1994
Springer
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
189
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BMEI
2009
IEEE
15 years 7 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
217
Voted
ICDAR
2009
IEEE
15 years 3 months ago
2009
IEEE
In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...